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000-591 Fundamentals of Applying Tivoli Service Delivery and Process Automation Solutions V3

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000-591 exam Dumps Source : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solutions V3

Test Code : 000-591
Test Name : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solutions V3
Vendor Name : IBM
: 86 Real Questions

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IBM Fundamentals of Applying Tivoli

2019 will be the year of cloud-primarily based cybersecurity analytics/operations | killexams.com Real Questions and Pass4sure dumps

security tips and experience administration (SIEM) methods first seemed around 2000 from carriers reminiscent of Intellitactics, NetForensics, and eSecurity. The original performance founded around adventure correlation from perimeter protection contraptions akin to IDS/IPS and firewalls.

The SIEM market evolved over the past 19 years, with distinctive carriers, performance, and use instances. SIEM has also grown right into a $2.5 billion market, dominated with the aid of providers such as Splunk, IBM, LogRhythm, and AT&T (AlienVault).

regardless of the SIEM evolution, today’s items will also be viewed as super-sized models of these of yesteryear. actually, the fashioned design of SIEM seemed like a knockoff of network and programs management tools CA Unicenter, HP OpenView, and IBM Tivoli. SIEM items were based mostly upon a tiered structure of dispensed statistics collectors/indexers/processors and a central database used for facts analytics, visualization, and reporting.

As SIEM scaled, organizations obligatory more and more hardware tiers to hold efficiency and scale. This has resulted in a condition the place SOC personnel focused on activities similar to risk detection, incident response, and forensic investigations are dependent upon SIEM infrastructure groups responsible for upgrading hardware, load balancing servers, adding storage potential, and many others.

SIEM will flow from on-premises servers to the public cloud

In 2019 (happy new year, expensive readers), the protection analytics/operations technology mannequin is in the course of a massive architectural shift. Over the following few years, the SIEM backend will migrate from on-premises servers to public cloud infrastructure. I firmly accept as true with that by the conclusion of 2020, even companies with dogmatic on-premises biases in industries like economic capabilities, govt, and armed forces gadget manufacturing will eschew on-premises SIEM in want of cloud-primarily based alternatives.

This transition has already started and will growth all of a sudden due to alterations on the demand and provide facet. CISOs will searching for out cloud-primarily based SIEM solutions on account of:

  • large growth in protection information. in line with ESG research, 28 percent of businesses bring together, system, and analyze appreciably extra security statistics than they did two years ago, whereas one other 49 % assemble, process, and analyze somewhat more security facts. (word: i'm an employee of ESG.) What styles of information is at the back of this boom sample? Cyber threat intelligence (CTI), network packet trap, cloud logs, enterprise application logs, you identify it. continuous security information growth equates to more infrastructure, extra personnel, and more operational tasks.
  • higher application charges. apart from infrastructure and staffing costs, some SIEM providers base their pricing on the volume of data under administration. I’ve heard CISOs complain that it’s not ordinary for them to blow through a three-yr SIEM price range in a 12 months.
  • Unacceptable tradeoffs. Given the skill-primarily based pricing of SIEM application, many businesses are pressured to ignore or purge useful safety data that they would in any other case compile and analyze. No security analyst desires to try this. yet another ordinary cost avoidance method is to complement SIEM with some type of open sourced-based mostly facts lake for retrospective and longer-time period investigations. while this may cut back SIEM software prices, it creates interoperability and fundamental operations challenges because the safety staff pivots from side to side from SIEM to statistics lake whereas managing two units of protection technology infrastructures.
  • The cybersecurity and IT expertise shortages. With an acute shortage of knowledgeable personnel, CIOs and CISOs have to ask themselves whether they really need to employ and retain personnel committed to the care and feeding of networks, servers, and storage gadgets.
  • For CISOs, cloud-primarily based SIEM can help overcome all of these considerations.

    carriers to push cloud-based mostly SIEM

    As for the deliver side, providers see burgeoning market alternatives and will push cloud-based SIEM into the market in a couple of ways:

  • normal SIEM companies see cloud upside. while they don’t speak much about it, SIEM leaders IBM and Splunk are already seeing plenty sooner boom prices for cloud-based mostly deployments of their items. this will continue.
  • Startups are all about the cloud. The newest round of protection analytics/operations companies, equivalent to DEVO, Empow Cybersecurity, and JASK, have embraced a cloud-based mostly backend designed for data pipelining, processor-intensive laptop discovering algorithms, and massive scale. We’ll doubtless see a few extra of learners in 2019.
  • The cloud service providcers are leaping in. Amazon, Google, and Microsoft personal globally dispensed, cloud-primarily based infrastructure and are investing closely in artificial intelligence/computing device discovering, so the cybersecurity analytics use case represents an ideal opportunity that aligns with their technology investments. These corporations are already making the circulate: Google/Alphabet has announced its protection analytics intentions with Chronicle. Amazon got Sqrll and hinted at an even bigger safety analytics/operations play at Re:Invent. Microsoft continues to be tight-lipped about its safety analytics/operations plans but some of its contemporary announcements imply that Redmond will join the fray in 2019.
  • In my humble opinion, the writing is on the wall — safety analytics/operations is a huge statistics application, and large data purposes are moving to the cloud. CISOs who nevertheless distrust the public cloud should face this fact. they will either figure out a way to peacefully coexist with cloud-based cybersecurity analytics/operations or be left in the grime. 


    IBM unveils Tivoli programs administration utility | killexams.com Real Questions and Pass4sure dumps

    How collaboration apps foster digital transformation

    IBM launches Watson application developer certification | killexams.com Real Questions and Pass4sure dumps

    ibm-watson.jpg

    IBM Watson

    IBM stated it's launching a Watson certification for developers.

    The stream comes as IBM is more and more dating builders and broadening the ecosystem for Watson and cognitive computing.

    Enter the IBM Watson application Developer Certification, a good way to test here by means of an exam:

  • Fundamentals of cognitive computing;
  • Cognitive computing use situations;
  • Fundamentals of IBM's Watson Developer Cloud;
  • And developing cognitive applications by the use of IBM's Watson Developer Cloud.
  • The test changed into created with the aid of a panel of 20 cognitive computing experts in a lot of industries where Watson performs -- healthcare, banking, commerce, etc., in keeping with a blog post.

    should still a developer flow the examination they'll be referred to an IBM licensed application Developer and get a digital badge.

    The exam is delivered by the use of Pearson VUE and might be taken at its examine centers. IBM will also present the exam at its conferences.


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  • 1.

    Dunn, B., Kamath, H. & Tarascon, J.-M. Electrical energy storage for the grid: a battery of choices. Science 334, 928–935 (2011).

  • 2.

    She, X., Huang, A. Q. & Burgos, R. Review of solid-state transformer technologies and their application in power distribution systems. IEEE J. Emerg. Sel. Top. Power Electron. 1, 186–198 (2013).

  • 3.

    Mahlia, T. M. I., Saktisahdan, T. J., Jannifar, A., Hasan, M. H. & Matseelar, H. S. C. A review of available methods and development on energy storage; technology update. Renew. Sustain. Energy Rev. 33, 532–545 (2014).

  • 4.

    Chabot, V. et al. A review of graphene and graphene oxide sponge: material synthesis and applications to energy and the environment. Energy Environ. Sci. 7, 1564–1596 (2014).

  • 5.

    Ferreira, A. D. B., Nóvoa, P. R. & Marques, A. T. Multifunctional material systems: a state-of-the-art review. Compos. Struct. 151, 3–35 (2016).

  • 6.

    Werber, J. R., Osuji, C. O. & Elimelech, M. Materials for next-generation desalination and water purification membranes. Nat. Rev. Mater. 1, 16018 (2016).

  • 7.

    Maine, E. & Garnsey, E. Commercializing generic technology: the case of advanced materials ventures. Res. Policy 35, 375–393 (2006).

  • 8.

    Linton, J. D. & Walsh, S. T. From bench to business. Nat. Mater. 2, 287–289 (2003).

  • 9.

    Sabatier, M. & Chollet, B. Is there a first mover advantage in science? Pioneering behavior and scientific production in nanotechnology. Res. Policy 46, 522–533 (2017).

  • 10.

    Jackson, R. B. in New U.S. Leadership, Next Steps on Climate Change (ed. Hayes, D. J.) 129–135 (Stanford Woods Institute for the Environment, Stanford, CA, USA, 2016).

  • 11.

    Georgeson, L., Maslin, M. & Poessinouw, M. Clean up energy innovation. Nature 538, 27–29 (2016).

  • 12.

    Bernstein, A. et al. Renewables need a grand-challenge strategy. Nature 538, 30 (2016).

  • 13.

    [No authors listed.] The first five years of the materials genome initiative: accomplishments and technical highlights. Materials Genome Initiative https://www.mgi.gov/sites/default/files/documents/mgi-accomplishments-at-5-years-august-2016.pdf (2016).

  • 14.

    Green, M. L. et al. Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies. Appl. Phys. Rev. 4, 011105 (2017).

  • 15.

    UNFCCC. Adoption of the Paris Agreement. Report No. FCCC/CP/2015/L.9/Rev.1 (UNFCCC, 2015).

  • 16.

    Northrop, E., Biru, H., Lima, S., Bouyé, M. & Song, R. Examining the alignment between the intended nationally determined contributions and sustainable development goals. World Resources Institute https://www.wri.org/sites/default/files/WRI_INDCs_v5.pdf (2016).

  • 17.

    Knight, W. The dark secret at the heart of AI. MIT Technology Review https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart-of-ai/ (2017).

  • 18.

    Ley, S. V., Fitzpatrick, D. E., Ingham, R. J. & Myers, R. M. Organic synthesis: march of the machines. Angew. Chem. Int. Ed. 54, 3449–3464 (2015).

  • 19.

    Schrage, M. 4 Models for using AI to make decisions. Harvard Business Review https://hbr.org/2017/01/4-models-for-using-ai-to-make-decisions (2017).

  • 20.

    Geysen, H. M., Meloen, R. H. & Barteling, S. J. Use of peptide synthesis to probe viral antigens for epitopes to a resolution of a single amino acid. Proc. Natl Acad. Sci. USA 81, 3998–4002 (1984).

  • 21.

    Doyel, P. M. Combinatorial chemistry in the discovery and development of drugs. J. Chem. Technol. Biotechnol. 64, 317–324 (1995).

  • 22.

    Borman, S. Combinatorial chemistry. Chem. Eng. News 76, 47–67 (1998).

  • 23.

    Nikolaev, P. et al. Autonomy in materials research: a case study in carbon nanotube growth. Comput. Mater. 2, 16031 (2016).

  • 24.

    Wigley, P. B. et al. Fast machine-learning online optimization of ultra-cold-atom experiments. Sci. Rep. 6, 25890 (2016).

  • 25.

    Xue, D. et al. Accelerated search for materials with targeted properties by adaptive design. Nat. Commun. 7, 11241 (2016).

  • 26.

    Houben, C. & Lapkin, A. A. Automatic discovery and optimization of chemical processes. Curr. Opin. Chem. Eng. 9, 1–7 (2015).

  • 27.

    LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).

  • 28.

    Shahriari, B., Swersky, K., Wang, Z., Adams, R. P. & de Freitas, N. Taking the human out of the loop: a review of Bayesian optimization. Proc. IEEE 104, 148–175 (2016).

  • 29.

    Allen, K. How a Toronto professor’s research revolutionized artificial intelligence. thestar.com https://www.thestar.com/news/world/2015/04/17/how-a-toronto-professors-research-revolutionized-artificial-intelligence.html (2015).

  • 30.

    Gibney, E. Google AI algorithm masters ancient game of Go. Nature 529, 445–446 (2016).

  • 31.

    Cisco Public. Encrypted traffic analytics. Cisco https://www.cisco.com/c/dam/en/us/solutions/collateral/enterprise-networks/enterprise-network-security/nb-09-encrytd-traf-anlytcs-wp-cte-en.pdf (2018).

  • 32.

    Basuchoudhary, A., Bang, J. T. & Sen, T. Machine-Learning Techniques in Economics. (Springer, Berlin, 2017).

  • 33.

    Mullainathan, S. & Spiess, J. Machine learning: an applied econometric approach. J. Econ. Perspect. 31, 87–106 (2017).

  • 34.

    Rao, A. Digital twins beyond the industrials. PWC http://usblogs.pwc.com/emerging-technology/digital-twins/ (2017).

  • 35.

    Magoulas, G. D. & Prentza, A. in Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science Vol 2049 (eds Paliouras, G., Karkaletsis, V. & Spyropoulos, C. D.) 300–307 (Springer, Berlin, 2001).

  • 36.

    Rajpurkar, P., Hannun, A. Y., Haghpanahi, M., Bourn, C. & Ng, A. Y. Cardiologist-level arrhythmia detection with convolutional neural networks. Preprint at arXiv, 1707.01836 (2017).

  • 37.

    Esteva, A. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115–118 (2017).

  • 38.

    Shen, G., Horikawa, T., Majima, K. & Kamitani, Y. Deep image reconstruction from human brain activity. Preprint at bioRxiv, 240317 (2017).

  • 39.

    Goh, G. B., Hodas, N. O. & Vishnu, A. Deep learning for computational chemistry. J. Comput. Chem. 38, 1291–1307 (2017).

  • 40.

    Smith, J. S., Isayev, O. & Roitberg, A. E. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost. Chem. Sci. 8, 3192–3203 (2017).

  • 41.

    Gilmer, J., Schoenholz, S. S., Riley, P. F., Vinyals, O. & Dahl, G. E. Neural message passing for quantum chemistry. Preprint at arXiv, 1704.01212 (2017).

  • 42.

    Matlock, M. K., Dang, N. L. & Swamidass, S. J. Learning a local-variable model of aromatic and conjugated systems. ACS Cent. Sci. 4, 52–62 (2018).

  • 43.

    Jiménez, J., Škalic, M., Martinez-Rosell, G. & De Fabritiis, G. KDEEP: protein–ligand absolute binding affinity prediction via 3D-convolutional neural networks. J. Chem. Inf. Model. 58, 287–296 (2018).

  • 44.

    Wang, H. & Yeung, D.-Y. Towards Bayesian deep learning: a framework and some existing methods. IEEE Trans Knowl. Data Eng 28, 3395–3408 (2016).

  • 45.

    Ehsan Abbasnejad, M., Shi, Q., Abbasnejad, I., van den Hengel, A. & Dick, A. Bayesian conditional generative adverserial networks. Preprint at arXiv, 1706.05477 (2017).

  • 46.

    Häse, F., Roch, L. M., Kreisbeck, C. & Aspuru-Guzik, A. PHOENICS: a universal deep Bayesian optimizer. Preprint at arXiv, 1801.01469 (2018).

  • 47.

    Hansen, K. et al. Assessment and validation of machine learning methods for predicting molecular atomization energies. J. Chem. Theor. Comput. 9, 3404–3419 (2013).

  • 48.

    Brockherde, F. et al. Bypassing the Kohn–Sham equations with machine learning. Nat. Commun. 8, 872 (2017).

  • 49.

    Li, Z., Kermode, J. R. & De Vita, A. Molecular dynamics with on-the-fly machine learning of quantum-mechanical forces. Phys. Rev. Lett. 114, 096405 (2015).

  • 50.

    Schütt, K. T., Sauceda, H. E., Kindermans, P.-J., Tkatchenko, A. & Müller, K.-R. SchNet — a deep learning architecture for molecules and materials. Preprint at arXiv, 1712.06113 (2017).

  • 51.

    Gómez-Bombarelli, R. et al. Automatic chemical design using a data-driven continuous representation of molecules. ACS Cent. Sci. 4, 268–276 (2018).

  • 52.

    Blaschke, T., Olivecrona, M., Engkvist, O., Bajorath, J. & Chen, H. Application of generative autoencoder in de novo molecular design. Mol. Inf. 37, 1700123 (2018).

  • 53.

    Sánchez-Lengeling, B., Outeiral, C., Guimaraes, G. L. & Aspuru-Guzik, A. Optimizing distributions over molecular space. An objective-reinforced generative adversarial network for inverse-design chemistry (ORGANIC). Preprint at ChemRxiv https://doi.org/10.26434/chemrxiv.5309668.v3 (2017).

  • 54.

    Kadurin, A., Nikolenko, S., Khrabrov, K., Aliper, A. & Zhavoronkov, A. druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico. Mol. Pharm. 14, 3098–3104 (2017).

  • 55.

    Grover, A., Dhar, M. & Ermon, S. Flow-GAN: combining maximum likelihood and adversarial learning in generative models. Preprint at arXiv, 1705.08868 (2017).

  • 56.

    Duros, V. et al. Human versus robots in the discovery and crystallization of gigantic polyoxometalates. Angew. Chem. Int. Ed. 56, 10815–10820 (2017).

  • 57.

    Zhou, Z., Li, X. & Zare, R. N. Optimizing chemical reactions with deep reinforcement learning. ACS Cent. Sci. 3, 1337–1344 (2017).

  • 58.

    King, R. D. et al. The automation of science. Science 324, 85–89 (2009).

  • 59.

    Trancik, J. E. Renewable energy: back the renewables boom. Nature 507, 300–302 (2014).

  • 60.

    Naims, H. Economics of carbon dioxide capture and utilization — a supply and demand perspective. Environ. Sci. Pollut. Res. 23, 22226–22241 (2016).

  • 61.

    Muratori, M. et al. Carbon capture and storage across fuels and sectors in energy system transformation pathways. Int. J. Greenhouse Gas Control 57, 34–41 (2017).

  • 62.

    Tzimas, E. et al. CO2 utilisation today: report 2017. DepositOnce https://doi.org/10.14279/depositonce-5806 (2017).

  • 63.

    Kuhl, K. P., Cave, E. R., Abram, D. N. & Jaramillo, T. F. New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces. Energy Environ. Sci. 5, 7050–7059 (2012).

  • 64.

    Kuhl, K. P. et al. Electrocatalytic conversion of carbon dioxide to methane and methanol on transition metal surfaces. J. Am. Chem. Soc. 136, 14107–14113 (2014).

  • 65.

    Roberts, F. S., Kuhl, K. P. & Nilsson, A. High selectivity for ethylene from carbon dioxide reduction over copper nanocube electrocatalysts. Angew. Chem. Int. Ed. 127, 5268–5271 (2015).

  • 66.

    Reymond, H., Vitas, S., Vernuccio, S. & von Rohr, P. R. Reaction process of resin-catalyzed methyl formate hydrolysis in biphasic continuous flow. Ind. Eng. Chem. Res. 56, 1439–1449 (2017).

  • 67.

    Behrens, M. Heterogeneous catalysis of CO2 conversion to methanol on copper surfaces. Angew. Chem. Int. Ed. 53, 12022–12024 (2014).

  • 68.

    Kattel, S., Ramírez, P. J., Chen, J. G., Rodriguez, J. A. & Liu, P. Active sites for CO2 hydrogenation to methanol on Cu/ZnO catalysts. Science 355, 1296–1299 (2017).

  • 69.

    U.S. Energy Information Agency. Manufacturing Energy Consumption Survey (MECS) 2014 (U.S. Energy Information Agency, 2014).

  • 70.

    Reymond, H., Amado-Blanco, V., Lauper, A. & Rudolf von Rohr, P. Interplay between reaction and phase behaviour in carbon dioxide hydrogenation to methanol. ChemSusChem 10, 1166–1174 (2017).

  • 71.

    Kondratenko, E. V., Mul, G., Baltrusaitis, J., Larrazabal, G. O. & Perez-Ramirez, J. Status and perspectives of CO2 conversion into fuels and chemicals by catalytic, photocatalytic and electrocatalytic processes. Energy Environ. Sci. 6, 3112–3135 (2013).

  • 72.

    Olah, G. A. Beyond oil and gas: the methanol economy. Angew. Chem. Int. Ed. 44, 2636–2639 (2005).

  • 73.

    Lal, R. Soil carbon sequestration to mitigate climate change. Geoderma 123, 1–22 (2004).

  • 74.

    Lal, R., Negassa, W. & Lorenz, K. Carbon sequestration in soil. Curr. Opin. Environ. Sustain. 15, 79–86 (2015).

  • 75.

    Williamson, P. Emissions reduction: scrutinize CO2 removal methods. Nature 530, 153–155 (2016).

  • 76.

    Marshall, C. In Switzerland, a giant new machine is sucking carbon directly from the air. Science https://doi.org/10.1126/science.aan6915 (2017).

  • 77.

    Man, I. C. et al. Universality in oxygen evolution electrocatalysis on oxide surfaces. ChemCatChem 3, 1159–1165 (2011).

  • 78.

    Montoya, J. H., Tsai, C., Vojvodic, A. & Nørskov, J. K. The challenge of electrochemical ammonia synthesis: a new perspective on the role of nitrogen scaling relations. ChemSusChem 8, 2180–2186 (2015).

  • 79.

    Studt, F. et al. Discovery of a Ni–Ga catalyst for carbon dioxide reduction to methanol. Nat. Chem. 6, 320–324 (2014).

  • 80.

    Benck, J. D., Hellstern, T. R., Kibsgaard, J., Chakthranont, P. & Jaramillo, T. F. Catalyzing the hydrogen evolution reaction (HER) with molybdenum sulfide nanomaterials. ACS Catal. 4, 3957–3971 (2014).

  • 81.

    Montoya, J. H. et al. Materials for solar fuels and chemicals. Nat. Mater. 16, 70–81 (2017).

  • 82.

    Ma, X., Li, Z., Achenie, L. E. K. & Xin, H. Machine-learning-augmented chemisorption model for CO2 electroreduction catalyst screening. J. Phys. Chem. Lett. 6, 3528–3533 (2015).

  • 83.

    Ulissi, Z. W., Medford, A. J., Bligaard, T. & Nørskov, J. K. To address surface reaction network complexity using scaling relations machine learning and DFT calculations. Nat. Commun. 8, 14621 (2017).

  • 84.

    Montoya, J. H. & Persson, K. A. A high-throughput framework for determining adsorption energies on solid surfaces. Comput. Mater. 3, 14 (2017).

  • 85.

    Lysgaard, S., Landis, D. D., Bligaard, T. & Vegge, T. Genetic algorithm procreation operators for alloy nanoparticle catalysts. Top. Catal. 57, 33–39 (2014).

  • 86.

    Vilhelmsen, L. B. & Hammer, B. A genetic algorithm for first principles global structure optimization of supported nano structures. J. Chem. Phys. 141, 044711 (2014).

  • 87.

    Rosenbrock, C. W., Homer, E. R., Csányi, G. & Hart, G. L. W. Discovering the building blocks of atomic systems using machine learning: application to grain boundaries. Comput. Mater. 3, 29 (2017).

  • 88.

    Jinnouchi, R. & Asahi, R. Predicting catalytic activity of nanoparticles by a DFT-aided machine-learning algorithm. J. Phys. Chem. Lett. 8, 4279–4283 (2017).

  • 89.

    Greeley, J., Jaramillo, T. F., Bonde, J., Chorkendorff, I. & Nørskov, J. K. Computational high-throughput screening of electrocatalytic materials for hydrogen evolution. Nat. Mater. 5, 909–913 (2006).

  • 90.

    García-Mota, M., Vojvodic, A., Abild-Pedersen, F. & Nørskov, J. K. Electronic origin of the surface reactivity of transition-metal-doped TiO2(110). J. Phys. Chem. C 117, 460–465 (2013).

  • 91.

    Hummelshøj, J. S., Abild-Pedersen, F., Studt, F., Bligaard, T. & Nørskov, J. K. CatApp: a web application for surface chemistry and heterogeneous catalysis. Angew. Chem. Int. Ed. 51, 272–274 (2012).

  • 92.

    Tran, R. et al. Surface energies of elemental crystals. Sci. Data 3, 160080 (2016).

  • 93.

    Kalidindi, S. R., Medford, A. J. & McDowell, D. L. Vision for data and informatics in the future materials innovation ecosystem. JOM 68, 2126–2137 (2016).

  • 94.

    Green, M. A. Commercial progress and challenges for photovoltaics. Nat. Energy 1, 15015 (2016).

  • 95.

    Haegel, N. M. et al. Terawatt-scale photovoltaics: trajectories and challenges. Science 356, 141–143 (2017).

  • 96.

    Kojima, A., Teshima, K., Shirai, Y. & Miyasaka, T. Organometal halide perovskites as visible-light sensitizers for photovoltaic cells. J. Am. Chem. Soc. 131, 6050–6051 (2009).

  • 97.

    Tan, H. et al. Efficient and stable solution-processed planar perovskite solar cells via contact passivation. Science 355, 722–726 (2017).

  • 98.

    National Renewable Energy Laboratory. Best research-cell efficiencies. National Renewable Energy Laboratory www.nrel.gov/pv/assets/images/efficiency_chart.jpg (2016).

  • 99.

    Shin, S. S. et al. Colloidally prepared La-doped BaSnO3 electrodes for efficient, photostable perovskite solar cells. Science 356, 167–171 (2017).

  • 100.

    Li, G., Zhu, R. & Yang, Y. Polymer solar cells. Nat. Photonics 6, 153–161 (2012).

  • 101.

    Gaudiana, R. & Brabec, C. J. Fantastic plastic. Nat. Photonics 2, 287 (2008).

  • 102.

    Hoth, C. N., Schilinsky, P., Choulis, S. A., Balasubramanian, S. & Brabec, C. J. in Applications of Organic and Printed Electronics (ed. Cantatore, E.) 27–56 (Springer US, Boston, MA, 2013).

  • 103.

    Al-Ibrahim, M., Roth, H.-K., Zhokhavets, U., Gobsch, G. & Sensfuss, S. Flexible large area polymer solar cells based on poly(3-hexylthiophene)/fullerene. Sol. Energy Mater. Sol. Cells 85, 13–20 (2005).

  • 104.

    Kaltenbrunner, M. et al. Ultrathin and lightweight organic solar cells with high flexibility. Nat. Commun. 3, 770 (2012).

  • 105.

    Schubert, M. B. & Werner, J. H. Flexible solar cells for clothing. Mater. Today 9, 42–50 (2006).

  • 106.

    Salvador, M. et al. Suppressing photooxidation of conjugated polymers and their blends with fullerenes through nickel chelates. Energy Environ. Sci. 10, 2005–2016 (2017).

  • 107.

    Henemann, A. BIPV: built-in solar energy. Renew. Energy Focus 9, 14–19 (2008).

  • 108.

    Azzopardi, B. et al. Economic assessment of solar electricity production from organic-based photovoltaic modules in a domestic environment. Energy Environ. Sci. 4, 3741–3753 (2011).

  • 109.

    Li, N. & Brabec, C. J. Washing away barriers. Nat. Energy 2, 772–773 (2017).

  • 110.

    Perea, J. D. et al. Introducing a new potential figure of merit for evaluating microstructure stability in photovoltaic polymer-fullerene blends. J. Phys. Chem. C 121, 18153–18161 (2017).

  • 111.

    Teichler, A. et al. Combinatorial screening of polymer:fullerene blends for organic solar cells by inkjet printing. Adv. Energy Mater. 1, 105–114 (2011).

  • 112.

    Chen, S. et al. Exploring the stability of novel wide bandgap perovskites by a robot based high throughput approach. Adv. Energy Mater. 8, 1701543 (2018).

  • 113.

    Lawrence Livermore National Laboratory. Energy flow charts. LLNL Flow Charts https://flowcharts.llnl.gov/ (2016).

  • 114.

    Zebarjadi, M., Esfarjani, K., Dresselhaus, M. S., Ren, Z. F. & Chen, G. Perspectives on thermoelectrics: from fundamentals to device applications. Energy Environ. Sci. 5, 5147–5162 (2012).

  • 115.

    Biswas, K. et al. High-performance bulk thermoelectrics with all-scale hierarchical architectures. Nature 489, 414–418 (2012).

  • 116.

    Aydemir, U. et al. YCuTe2: a member of a new class of thermoelectric materials with CuTe4-based layered structure. J. Mater. Chem. A 4, 2461–2472 (2016).

  • 117.

    Chen, W. et al. Understanding thermoelectric properties from high-throughput calculations: trends, insights, and comparisons with experiment. J. Mater. Chem. C 4, 4414–4426 (2016).

  • 118.

    Jain, A., Hautier, G., Ong, S. P. & Persson, K. New opportunities for materials informatics: resources and data mining techniques for uncovering hidden relationships. J. Mater. Res. 31, 977994 (2016).

  • 119.

    Pohls, J.-H. et al. Metal phosphides as potential thermoelectric materials. J. Mater. Chem. C 5, 12441–12456 (2017).

  • 120.

    Faghaninia, A. et al. A computational assessment of the electronic, thermoelectric, and defect properties of bournonite (CuPbSbS3) and related substitutions. Phys. Chem. Chem. Phys. 19, 6743–6756 (2017).

  • 121.

    Kim, H. M., Shao, L., Zhang, K. & Pipe, K. P. Engineered doping of organic semiconductors for enhanced thermoelectric efficiency. Nat. Mater. 12, 719–723 (2013).

  • 122.

    Russ, B., Glaudell, A., Urban, J. J., Chabinyc, M. L. & Segalman, R. A. Organic thermoelectric materials for energy harvesting and temperature control. Nat. Rev. Mater. 1, 16050 (2016).

  • 123.

    Sun, L. et al. A microporous and naturally nanostructured thermoelectric metal–organic framework with ultralow thermal conductivity. Joule 1, 168–177 (2017).

  • 124.

    Ürge-Vorsatz, D., Cabeza, L. F., Serrano, S., Barreneche, C. & Petrichenko, K. Heating and cooling energy trends and drivers in buildings. Renew. Sustain. Energy Rev. 41, 85–98 (2015).

  • 125.

    Waqas, A. & Din, Z. U. Phase change material (PCM) storage for free cooling of buildings — a review. Renew. Sustain. Energy Rev. 18, 607–625 (2013).

  • 126.

    Memon, S. A. Phase change materials integrated in building walls: a state of the art review. Renew. Sustain. Energy Rev. 31, 870–906 (2014).

  • 127.

    Baetens, R., Jelle, B. P. & Gustavsen, A. Phase change materials for building applications: a state-of-the-art review. Energy Build. 42, 1361–1368 (2010).

  • 128.

    Koebel, M., Rigacci, A. & Achard, P. Aerogel-based thermal superinsulation: an overview. J. Sol-Gel Sci. Technol. 63, 315–339 (2012).

  • 129.

    Bendahou, D., Bendahou, A., Seantier, B., Grohens, Y. & Kaddami, H. Nano-fibrillated cellulose-zeolites based new hybrid composites aerogels with super thermal insulating properties. Ind. Crops Prod. 65, 374–382 (2015).

  • 130.

    Seantier, B., Bendahou, D., Bendahou, A., Grohens, Y. & Kaddami, H. Multi-scale cellulose based new bio-aerogel composites with thermal super-insulating and tunable mechanical properties. Carbohydr. Polym. 138, 335–348 (2016).

  • 131.

    Wicklein, B. et al. Thermally insulating and fire-retardant lightweight anisotropic foams based on nanocellulose and graphene oxide. Nat. Nanotechnol. 10, 277–283 (2015).

  • 132.

    Wang, Y., Runnerstrom, E. L. & Milliron, D. J. Switchable materials for smart windows. Annu. Rev. Chem. Bio. Eng. 7, 283–304 (2016).

  • 133.

    Runnerstrom, E. L., Llordes, A., Lounis, S. D. & Milliron, D. J. Nanostructured electrochromic smart windows: traditional materials and NIR-selective plasmonic nanocrystals. Chem. Commun. 50, 10555–10572 (2014).

  • 134.

    Kamalisarvestani, M., Saidur, R., Mekhilef, S. & Javadi, F. Performance, materials and coating technologies of thermochromic thin films on smart windows. Renew. Sustain. Energy Rev. 26, 353–364 (2013).

  • 135.

    Baetens, R., Jelle, B. P. & Gustavsen, A. Properties, requirements and possibilities of smart windows for dynamic daylight and solar energy control in buildings: a state-of-the-art review. Sol. Energy Mater. Sol. Cells 94, 87–105 (2010).

  • 136.

    DeForest, N. et al. United States energy and CO2 savings potential from deployment of near-infrared electrochromic window glazings. Build. Environ. 89, 107–117 (2015).

  • 137.

    Monk, P. M. S. The Viologens: Physicochemical Properties, Synthesis and Applications of the Salts of 4,4´-Bipyridine. (Wiley, Weinheim, 1999).

  • 138.

    Jasinski, R. J. n-Heptylviologen radical cation films on transparent oxide electrodes. J. Electrochem. Soc. 125, 1619–1623 (1978).

  • 139.

    Sammells, A. F. & Pujare, N. U. Electrochromic effects on heptylviologen incorporated within a solid polymer electrolyte cell. J. Electrochem. Soc. 133, 1270–1271 (1986).

  • 140.

    Akahoshi, H., Toshima, S. & Itaya, K. Electrochemical and spectroelectrochemical properties of polyviologen complex modified electrodes. J. Phys. Chem. 85, 818–822 (1981).

  • 141.

    Beaujuge, P. M. & Reynolds, J. R. Color control in π-conjugated organic polymers for use in electrochromic devices. Chem. Rev. 110, 268–320 (2010).

  • 142.

    Ribeiro, A. S. & Mortimer, R. J. Conjugated conducting polymers with electrochromic and fluorescent properties. Electrochemistry 13, 21–49 (2016).

  • 143.

    Kline, W. M., Lorenzini, R. G. & Sotzing, G. A. A review of organic electrochromic fabric devices. Color. Technol. 130, 73–80 (2014).

  • 144.

    Monk, P. M. S., Mortimer, R. J. & Rosseinsky, D. R. Electrochromism: Fundamentals and Applications (Wiley, Weinheim, 1995).

  • 145.

    Mortimer, R. J. Electrochromic materials. Ann. Rev. Mater. Res. 41, 241–268 (2011).

  • 146.

    Xie, Y.-X., Zhao, W.-N., Li, G.-C., Liu, P.-F. & Han, L. A naphthalenediimide-based metal–organic framework and thin film exhibiting photochromic and electrochromic properties. Inorg. Chem. 55, 549–551 (2016).

  • 147.

    Wade, C. R., Li, M. & Dinca, M. Facile deposition of multicolored electrochromic metal–organic framework thin films. Angew. Chem. Int. Ed. 52, 13377–13381 (2013).

  • 148.

    AlKaabi, K., Wade, C. R. & Dincă, M. Transparent-to-dark electrochromic behavior in naphthalene-diimide-based mesoporous MOF-74 analogs. Chem 1, 264–272 (2016).

  • 149.

    Mjejri, I., Doherty, C. M., Rubio-Martinez, M., Drisko, G. L. & Rougier, A. Double-sided electrochromic device based on metal–organic frameworks. ACS Appl. Mater. Interfaces 9, 39930–39934 (2017).

  • 150.

    Mehlana, G. & Bourne, S. A. Unravelling chromism in metal–organic frameworks. CrystEngComm 19, 4238–4259 (2017).

  • 151.

    Gomez-Gualdron, D. A. et al. Computational design of metal–organic frameworks based on stable zirconium building units for storage and delivery of methane. Chem. Mater. 26, 5632–5639 (2014).

  • 152.

    Chung, Y. G. et al. In silico discovery of metal–organic frameworks for precombustion CO2 capture using a genetic algorithm. Sci. Adv. 2, e1600909 (2016).

  • 153.

    Borboudakis, G. et al. Chemically intuited, large-scale screening of MOFs by machine learning techniques. Comput. Mater. 3, 40 (2017).

  • 154.

    Wilmer, C. E. et al. Large-scale screening of hypothetical metal–organic frameworks. Nat. Chem. 4, 83–89 (2011).

  • 155.

    Pardakhti, M., Moharreri, E., Wanik, D., Suib, S. L. & Srivastava, R. Machine learning using combined structural and chemical descriptors for prediction of methane adsorption performance of metal organic frameworks (MOFs). ACS Comb. Sci. 19, 640–645 (2017).

  • 156.

    Thackeray, M. M., Wolverton, C. & Isaacs, E. D. Electrical energy storage for transportation approaching the limits of, and going beyond, lithium-ion batteries. Energy Environ. Sci. 5, 7854–7863 (2012).

  • 157.

    Winsberg, J., Hagemann, T., Janoschka, T., Hager, M. D. & Schubert, U. S. Redox-flow batteries: from metals to organic redox-active materials. Angew. Chem. Int. Ed. 56, 686–711 (2017).

  • 158.

    González, A., Goikolea, E., Barrena, J. A. & Mysyk, R. Review on supercapacitors: technologies and materials. Renew. Sustain. Energy Rev. 58, 1189–1206 (2016).

  • 159.

    Goodenough, J. B. & Park, K. S. The Li-ion rechargeable battery: a perspective. J. Am. Chem. Soc. 135, 1167–1176 (2013).

  • 160.

    Choi, J. W. & Aurbach, D. Promise and reality of post-lithium-ion batteries with high energy densities. Nat. Rev. Mater. 1, 16013 (2016).

  • 161.

    Hautier, G., Fischer, C., Ehrlacher, V., Jain, A. & Ceder, G. Data mined ionic substitutions for the discovery of new compounds. Inorg. Chem. 50, 656–663 (2011).

  • 162.

    Hautier, G. et al. Phosphates as lithium-ion battery cathodes: an evaluation based on high-throughput ab initio calculations. Chem. Mater. 23, 3495–3508 (2011).

  • 163.

    Chen, H. et al. Carbonophosphates: a new family of cathode materials for Li-ion batteries identified computationally. Chem. Mater. 24, 2009–2016 (2012).

  • 164.

    Ermon, S., Xue, Y., Gomes, C. & Selman, B. Learning policies for battery usage optimization in electric vehicles. Machine Learn. 92, 177–194 (2013).

  • 165.

    Nuhic, A., Terzimehic, T., Soczka-Guth, T., Buchholz, M. & Dietmayer, K. Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods. J. Power Sources 239, 680–688 (2013).

  • 166.

    Waag, W., Fleischer, C. & Sauer, D. U. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles. J. Power Sources 258, 321–339 (2014).

  • 167.

    Chaouachi, A., Kamel, R. M., Andoulsi, R. & Nagasaka, K. Multiobjective intelligent energy management for a microgrid. IEEE Trans. Ind. Electron. 60, 1688–1699 (2013).

  • 168.

    Huskinson, B. et al. A metal-free organic–inorganic aqueous flow battery. Nature 505, 195–198 (2014).

  • 169.

    Lin, K. et al. Alkaline quinone flow battery. Science 349, 1529–1532 (2015).

  • 170.

    Lin, K. et al. A redox-flow battery with an alloxazine-based organic electrolyte. Nat. Energy 1, 16102 (2016).

  • 171.

    Liu, T., Wei, X., Nie, Z., Sprenkle, V. & Wang, W. A total organic aqueous redox flow battery employing a low cost and sustainable methyl viologen anolyte and 4-HO-TEMPO catholyte. Adv. Energy Mater. 6, 1501449 (2016).

  • 172.

    Hu, B., DeBruler, C., Rhodes, Z. & Liu, T. L. Long-cycling aqueous organic redox flow battery (AORFB) toward sustainable and safe energy storage. J. Am. Chem. Soc. 139, 1207–1214 (2017).

  • 173.

    Beh, E. S. et al. A neutral pH aqueous organic–organometallic redox flow battery with extremely high capacity retention. ACS Energy Lett. 2, 639–644 (2017).

  • 174.

    Pyzer-Knapp, E. O., Suh, C., Gómez-Bombarelli, R., Aguilera-Iparraguirre, J. & Aspuru-Guzik, A. What is high-throughput virtual screening? A perspective from organic materials discovery. Annu. Rev. Mater. Res. 45, 195–216 (2015).

  • 175.

    Jain, A., Shin, Y. & Persson, K. A. Computational predictions of energy materials using density functional theory. Nat. Rev. Mater. 1, 15004 (2016).

  • 176.

    Hachmann, J. et al. The Harvard Clean Energy Project: large-scale computational screening and design of organic photovoltaics on the world community grid. J. Phys. Chem. Lett. 2, 2241–2251 (2011).

  • 177.

    Hachmann, J. et al. Lead candidates for high-performance organic photovoltaics from high-throughput quantum chemistry — the Harvard Clean Energy Project. Energy Environ. Sci. 7, 698–704 (2014).

  • 178.

    Er, S., Suh, C., Marshak, M. P. & Aspuru-Guzik, A. Computational design of molecules for an all-quinone redox flow battery. Chem. Sci. 6, 885–893 (2015).

  • 179.

    Gómez-Bombarelli, R. et al. Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach. Nat. Mater. 15, 1120–1127 (2016).

  • 180.

    Sokolov, A. N. et al. From computational discovery to experimental characterization of a high hole mobility organic crystal. Nat. Commun. 2, 437 (2011).

  • 181.

    Raccuglia, P. et al. Machine-learning-assisted materials discovery using failed experiments. Nature 533, 73–76 (2016).

  • 182.

    Jain, A. et al. The Materials Project: a materials genome approach to accelerating materials innovation. APL Mater. 1, 011002 (2013).

  • 183.

    Pizzi, G., Cepellotti, A., Sabatini, R., Marzari, N. & Kozinsky, B. AiiDA: automated interactive infrastructure and database for computational science. Comput. Mater. Sci. 111, 218–230 (2016).

  • 184.

    Saal, J. E., Kirklin, S., Aykol, M., Meredig, B. & Wolverton, C. Materials design and discovery with high-throughput density functional theory: the open quantum materials database (OQMD). JOM 65, 1501–1509 (2013).

  • 185.

    Curtarolo, S. et al. The high-throughput highway to computational materials design. Nat. Mater. 12, 191–201 (2013).

  • 186.

    Curtarolo, S. et al. AFLOWLIB. ORG: a distributed materials properties repository from high-throughput ab initio calculations. Comput. Mater. Sci. 58, 227–235 (2012).

  • 187.

    Hautier, G. et al. Novel mixed polyanions lithium-ion battery cathode materials predicted by high-throughput ab initio computations. J. Mater. Chem. 21, 17147–17153 (2011).

  • 188.

    Kirklin, S., Chan, M. K. Y., Trahey, L., Thackeray, M. M. & Wolverton, C. High-throughput screening of high-capacity electrodes for hybrid Li-ion–Li–O2 cells. Phys. Chem. Chem. Phys. 16, 22073–22082 (2014).

  • 189.

    Qu, X. et al. The Electrolyte Genome Project: a big data approach in battery materials discovery. Comput. Mater. Sci. 103, 56–67 (2015).

  • 190.

    Aykol, M. et al. High-throughput computational design of cathode coatings for Li-ion batteries. Nat. Commun. 7, 13779 (2016).

  • 191.

    Toher, C. et al. High-throughput computational screening of thermal conductivity, Debye temperature, and Gruneisen parameter using a quasiharmonic Debye model. Phys. Rev. B 90, 174107 (2014).

  • 192.

    Wu, Y., Lazic, P., Hautier, G., Persson, K. & Ceder, G. First principles high throughput screening of oxynitrides for water-splitting photocatalysts. Energy Environ. Sci. 6, 157–168 (2013).

  • 193.

    Khatami, S. N. & Aksamija, Z. Lattice thermal conductivity of the binary and ternary group-IV alloys Si-Sn, Ge-Sn, and Si-Ge-Sn. Phys. Rev. Appl 6, 014015 (2016).

  • 194.

    Compton, W. D. & Schulman, J. H. Color Centers in Solids 2 (Pergamon, Oxford, 1962).

  • 195.

    Ding, H. et al. Computational approach for epitaxial polymorph stabilization through substrate selection. ACS Appl. Mater. Interfaces 8, 13086–13093 (2016).

  • 196.

    Dunstan, M. T. et al. Large scale computational screening and experimental discovery of novel materials for high temperature CO2 capture. Energy Environ. Sci. 9, 1346–1360 (2016).

  • 197.

    Zhu, H. et al. Computational and experimental investigation of TmAgTe2 and XYZ 2 compounds, a new group of thermoelectric materials identified by first-principles high-throughput screening. J. Mater. Chem. C 3, 10554–10565 (2015).

  • 198.

    Pyzer-Knapp, E. O., Li, K. & Aspuru-Guzik, A. Learning from the Harvard Clean Energy Project: the use of neural networks to accelerate materials discovery. Adv. Func. Mater. 25, 6495–6502 (2015).

  • 199.

    Ghiringhelli, L. M., Vybiral, J., Levchenko, S. V., Draxl, C. & Scheffler, M. Big data of materials science: critical role of the descriptor. Phys. Rev. Lett. 114, 105503 (2015).

  • 200.

    Segler, M. H. S., Kogej, T., Tyrchan, C. & Waller, M. P. Generating focused molecule libraries for drug discovery with recurrent neural networks. ACS Cent. Sci. 4, 120–131 (2018).

  • 201.

    Ikebata, H., Hongo, K., Isomura, T., Maezono, R. & Yoshida, R. Bayesian molecular design with a chemical language model. J. Comput. Aided Mol. Des. 31, 379–391 (2017).

  • 202.

    Kadurin, A. et al. The cornucopia of meaningful leads: applying deep adversarial autoencoders for new molecule development in oncology. Oncotarget 8, 10883–10890 (2017).

  • 203.

    Podlewska, S., Czarnecki, W. M., Kafel, R. & Bojarski, A. J. Creating the new from the old: combinatorial libraries generation with machine-learning-based compound structure optimization. J. Chem. Inf. Model. 57, 133–147 (2017).

  • 204.

    Tibbetts, K. M., Feng, X.-J. & Rabitz, H. Exploring experimental fitness landscapes for chemical synthesis and property optimization. Phys. Chem. Chem. Phys. 19, 4266–4287 (2017).

  • 205.

    Moore, K. W. et al. Universal characteristics of chemical synthesis and property optimization. Chem. Sci. 2, 417–424 (2011).

  • 206.

    Moore, K. W. et al. Why is chemical synthesis and property optimization easier than expected? Phys. Chem. Chem. Phys. 13, 10048–10070 (2011).

  • 207.

    Ping Ong, S., Wang, L., Kang, B. & Ceder, G. Li–Fe–P–O2 phase diagram from first principles calculations. Chem. Mater. 20, 1798–1807 (2008).

  • 208.

    Langer, J. S. Models of pattern formation in first-order phase transitions. Dir. Condens. Matt. Phys. 1, 165–186 (1986).

  • 209.

    Lee, D. D., Choy, J. H. & Lee, J. K. Computer generation of binary and ternary phase diagrams via a convex hull method. J. Phase Equilib. 13, 365–372 (1992).

  • 210.

    Pourbaix, M. Atlas of Electrochemical Equilibria in Aqueous Solutions 1 (Pergamon, Oxford, 1966).

  • 211.

    Dannatt, C. W. & Ellingham, H. J. T. Roasting and reduction processes. Roasting and reduction processes-a general survey. Discuss. Faraday Soc 4, 126–139 (1948).

  • 212.

    Spencer, P. A brief history of CALPHAD. Calphad 32, 1–8 (2008).

  • 213.

    Phillips, R. Crystals, Defects and Microstructures: Modeling Across Scales (Cambridge Univ. Press, Cambridge, 2001).

  • 214.

    Goyal, A., Gorai, P., Peng, H., Lany, S. & Stevanovic, V. A computational framework for automation of point defect calculations. Preprint at arXiv, 1611.00825 (2016).

  • 215.

    Gomberg, J. A., Medford, A. J. & Kalidindi, S. R. Extracting knowledge from molecular mechanics simulations of grain boundaries using machine learning. Acta Mater. 133, 100–108 (2017).

  • 216.

    El-Awady, J. A. Unravelling the physics of size-dependent dislocation-mediated plasticity. Nat. Commun. 6, 5926 (2015).

  • 217.

    Wu, H., Mayeshiba, T. & Morgan, D. Dataset for high-throughput ab-initio dilute solute diffusion database. Globus https://doi.org/10.18126/M2X59R (2016).

  • 218.

    Toher, C. et al. Combining the AFLOW GIBBS and elastic libraries to efficiently and robustly screen thermomechanical properties of solids. Phys. Rev. Mater. 1, 015401 (2017).

  • 219.

    de Jong, M. et al. Charting the complete elastic properties of inorganic crystalline compounds. Sci. Data 2, 150009 (2015).

  • 220.

    Sun, W. et al. The thermodynamic scale of inorganic crystalline metastability. Sci. Adv. 2, e1600225 (2016).

  • 221.

    Bartók, A. P. et al. Machine learning unifies the modeling of materials and molecules. Sci. Adv. 3, e1701816 (2017).

  • 222.

    Segler, M. H. S., Preuss, M. & Waller, M. P. Learning to plan chemical syntheses. Preprint at arXiv, 1708.04202 (2017).

  • 223.

    Corey, E. J. & Jorgensen, W. L. Computer-assisted synthetic analysis. Synthetic strategies based on appendages and the use of reconnective transforms. J. Am. Chem. Soc. 98, 189–203 (1976).

  • 224.

    Corey, E. J. & Wipke, W. T. Computer-assisted design of complex organic syntheses. Science 166, 178–192 (1969).

  • 225.

    Pensak, D. A. & Corey, E. J. in Computer-Assisted Organic Synthesis (eds Wipke, W. T. & Howe, W. J.) 1–32 (American Chemical Society, Washington, DC, 1977).

  • 226.

    Wipke, W. T. & Howe, W. J. Computer-Assisted Organic Synthesis (American Chemical Society, Washington, DC, 1977).

  • 227.

    Jorgensen, W. L. et al. CAMEO: a program for the logical prediction of the products of organic reactions. Pure Appl. Chem. 62, 1921–1932 (1990).

  • 228.

    Gasteiger, J. & Jochum, C. EROS a computer program for generating sequences of reactions. Organic Compunds 74, 93–126 (1978).

  • 229.

    Satoh, H. & Funatsu, K. SOPHIA, a knowledge base-guided reaction prediction system — utilization of a knowledge base derived from a reaction database. J. Chem. Inf. Comp. Sci. 35, 34–44 (1995).

  • 230.

    Gelernter, H. L. et al. Empirical explorations of SYNCHEM. Science 197, 1041–1049 (1977).

  • 231.

    Pence, H. E. & Williams, A. ChemSpider: an online chemical information resource. J. Chem. Ed. 87, 1123–1124 (2010).

  • 232.

    Akhondi, S. A. et al. Annotated chemical patent corpus: a gold standard for text mining. PLOS One 9, e107477 (2014).

  • 233.

    Bøgevig, A. et al. Route design in the 21st century: the ICSYNTH software tool as an idea generator for synthesis prediction. Org. Process Res. Dev. 19, 357–368 (2015).

  • 234.

    Szymkuć, S. et al. Computer-assisted synthetic planning: the end of the beginning. Angew. Chem. Int. Ed. 55, 5904–5937 (2016).

  • 235.

    Bergeler, M., Simm, G. N., Proppe, J. & Reiher, M. Heuristics-guided exploration of reaction mechanisms. J. Chem. Theory Comput. 11, 5712–5722 (2015).

  • 236.

    Kayala, M. A. & Baldi, P. ReactionPredictor: prediction of complex chemical reactions at the mechanistic level using machine learning. J. Chem. Inf. Model. 52, 2526–2540 (2012).

  • 237.

    Wei, J. N., Duvenaud, D. & Aspuru-Guzik, A. Neural networks for the prediction of organic chemistry reactions. ACS Cent. Sci. 2, 725–732 (2016).

  • 238.

    Segler, M. H. S. & Waller, M. P. Neural-symbolic machine learning for retrosynthesis and reaction prediction. Chem. Eur. J. 23, 5966–5971 (2017).

  • 239.

    Coley, C. W., Barzilay, R., Jaakkola, T. S., Green, W. H. & Jensen, K. F. Prediction of organic reaction outcomes using machine learning. ACS Cent. Sci. 3, 434–443 (2017).

  • 240.

    Duvenaud, D. K. et al. in Advances in Neural Information Processing Systems (eds Cortes, C., Lawrence,N. D., Lee, D. D., Sugiyama, M. & Garnett, R.) 2224–2232 (Curran Associates, 2015).

  • 241.

    Peplow, M. Organic synthesis: the robo-chemist. Nature 512, 20–22 (2014).

  • 242.

    Nicolaou, C. A., Watson, I. A., Hu, H. & Wang, J. The Proximal Lilly Collection: mapping, exploring and exploiting feasible chemical space. J. Chem. Inf. Model. 56, 1253–1266 (2016).

  • 243.

    Godfrey, A. G., Masquelin, T. & Hemmerle, H. A remote-controlled adaptive Medchem Lab: an innovative approach to enable drug discovery in the 21st century. Drug Discov. Today 18, 795–802 (2013).

  • 244.

    Nicolaou, K. C., Hanko, R. & Hartwig, W. in Handbook of Combinatorial Chemistry (eds Nicolaou, K. C., Hanko, R. & Hartwig, W.) 1–9 (Wiley-VCH, Weinheim, 2005).

  • 245.

    Shevlin, M. Practical high-throughput experimentation for chemists. ACS Med. Chem. Lett. 8, 601–607 (2017).

  • 246.

    Weber, A., von Roedern, E. & Stilz, H. U. SynCar: an approach to automated synthesis. J. Comb. Chem. 7, 178–184 (2005).

  • 247.

    Prabhu, G. R. D. & Urban, P. L. The dawn of unmanned analytical laboratories. Trends Anal. Chem. 88, 41–52 (2017).

  • 248.

    Ley, S. V., Fitzpatrick, D. E., Myers, R. M., Battilocchio, C. & Ingham, R. J. Machine-assisted organic synthesis. Angew. Chem. Int. Ed. 54, 10122–10136 (2015).

  • 249.

    Pastre, J. C., Browne, D. L. & Ley, S. V. Flow chemistry syntheses of natural products. Chem. Soc. Rev. 42, 8849–8869 (2013).

  • 250.

    Adamo, A. et al. On-demand continuous-flow production of pharmaceuticals in a compact, reconfigurable system. Science 352, 61–67 (2016).

  • 251.

    Rasheed, M. & Wirth, T. Intelligent microflow: development of self-optimizing reaction systems. Angew. Chem. Int. Ed. 50, 357–358 (2011).

  • 252.

    Buitrago Santanilla, A. et al. Nanomole-scale high-throughput chemistry for the synthesis of complex molecules. Science 347, 49–53 (2015).

  • 253.

    Nelson, J. D. in Practical Synthetic Organic Chemistry (ed. Caron, S.) 1–71 (John Wiley & Sons, Hoboken, 2011).

  • 254.

    Vaidyanathan, R. & Wager, C. B. in Practical Synthetic Organic Chemistry (ed. Caron, S.) 73–165 (John Wiley & Sons, Hoboken, 2011).

  • 255.

    Caron, S. et al. in Practical Synthetic Organic Chemistry (ed. Caron, S.) 279–340 (John Wiley & Sons, Hoboken, 2011).

  • 256.

    Ripin, D. H. B. in Practical Synthetic Organic Chemistry (ed. Caron, S.) 341–381; 493–556 (John Wiley & Sons, Hoboken, 2011).

  • 257.

    Pouliot, J.-R., Grenier, F., Blaskovits, J. T., Beauprè, S. & Leclerc, M. Direct (hetero)arylation polymerization: simplicity for conjugated polymer synthesis. Chem. Rev. 116, 14225–14274 (2016).

  • 258.

    Woerly, E. M., Roy, J. & Burke, M. D. Synthesis of most polyene natural product motifs using just 12 building blocks and one coupling reaction. Nat. Chem. 6, 484–491 (2014).

  • 259.

    Service, R. F. The synthesis machine. Science 347, 1190–1193 (2015).

  • 260.

    Li, J. et al. Synthesis of many different types of organic small molecules using one automated process. Science 347, 1221–1226 (2015).

  • 261.

    Maiwald, M., Fischer, H. H., Kim, Y.-K., Albert, K. & Hasse, H. Quantitative high-resolution on-line NMR spectroscopy in reaction and process monitoring. J. Magn. Reson. 166, 135–146 (2004).

  • 262.

    Baranczak, A. et al. Integrated platform for expedited synthesis–purification–testing of small molecule libraries. ACS Med. Chem. Lett. 8, 461–465 (2017).

  • 263.

    Green, M. L. et al. Fulfilling the promise of the materials genome initiative with high- throughput experimental methodologies. Appl. Phys. Rev. 4, 011105 (2017).

  • 264.

    Xiang, X. D. et al. A combinatorial approach to materials discovery. Science 268, 1738–1740 (1995).

  • 265.

    Tsui, F. & Ryan, P. Combinatorial molecular beam epitaxy synthesis and char- acterization of magnetic alloys. Appl. Surf. Sci. 189, 333–338 (2002).

  • 266.

    Wang, Q., Itaka, K., Minami, H., Kawaji, H. & Koinuma, H. Combinatorial pulsed laser deposition and thermoelectricity of (La1−xCa x )VO3 composition-spread films. Sci. Technol. Adv. Mater. 5, 543–547 (2004).

  • 267.

    Chang, K.-S., Aronova, M. & Takeuchi, I. Combinatorial pulsed laser deposition using a compact high-throughout thin-film deposition flange. Appl. Surf. Sci. 223, 224–228 (2004).

  • 268.

    Takeuchi, I. in Pulsed Laser Deposition of Thin Films (ed. Eason, R.) 161–176 (John Wiley & Sons, Hoboken, 2006).

  • 269.

    Kim, D. H. et al. Combinatorial pulsed laser deposition of Fe, Cr, Mn, and Ni-substituted SrTiO3 films on Si substrates. ACS Comb. Sci. 14, 179–190 (2012).

  • 270.

    Havelia, S. et al. Combinatorial substrate epitaxy: a new approach to growth of complex metastable compounds. CrystEngComm 15, 5434–5441 (2013).

  • 271.

    Sun, X. Y. et al. Combinatorial pulsed laser deposition of magnetic and magneto-optical Sr(Ga x Ti y Fe0.34−0.40)O3−δ perovskite films. ACS Comb. Sci. 16, 640–646 (2014).

  • 272.

    Kadhim, A. et al. Development of combinatorial pulsed laser deposition for expedited device optimization in CdTe/CdS thin-film solar cells. Int. J. Opt. 2016, 1696848 (2016).

  • 273.

    Keifer, P. A. High-resolution NMR techniques for solid-phase synthesis and combinatorial chemistry. Drug Discov. Today 2, 468–478 (1997).

  • 274.

    Hamper, B. C. et al. High-throughput 1H NMR and HPLC characterization of a 96-member substituted methylene malonamic acid library. J. Comb. Chem. 1, 140–150 (1999).

  • 275.

    Carter, C. F. et al. ReactIR Flow Cell: a new analytical tool for continuous flow chemical processing. Org. Process Res. Dev. 14, 393–404 (2010).

  • 276.

    Huang, H., Yu, H., Xu, H. & Ying, Y. Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: a review. J. Food. Eng. 87, 303–313 (2008).

  • 277.

    Otani, M. et al. A high-throughput thermoelectric power-factor screening tool for rapid construction of thermoelectric property diagrams. Appl. Phys. Lett. 91, 132102 (2007).

  • 278.

    Kuo, T.-C., Malvadkar, N. A., Drumright, R., Cesaretti, R. & Bishop, M. T. High- throughput industrial coatings research at The Dow Chemical Company. ACS Comb. Sci 18, 507–526 (2016).

  • 279.

    Hepp, J., Machui, F., Egelhaaf, H.-J., Brabec, C. J. & Vetter, A. Automatized analysis of IR-images of photovoltaic modules and its use for quality control of solar cells. Energy Sci. Eng. 4, 363–371 (2016).

  • 280.

    Alstrup, J., Jørgensen, M., Medford, A. J. & Krebs, F. C. Ultra fast and parsimonious materials screening for polymer solar cells using differentially pumped slot-die coating. ACS Appl. Mater. Interfaces 2, 2819–2827 (2010).

  • 281.

    Guldal, N. S. et al. Real-time evaluation of thin film drying kinetics using an advanced, multi-probe optical setup. J. Mater. Chem. C 4, 2178–2186 (2016).

  • 282.

    Dragone, V., Sans, V., Henson, A. B., Granda, J. M. & Cronin, L. An autonomous organic reaction search engine for chemical reactivity. Nat. Commun. 8, 15733 (2017).

  • 283.

    Kitson, P. J. et al. Digitization of multistep organic synthesis in reactionware for on-demand pharmaceuticals. Science 359, 314–319 (2018).

  • 284.

    Gutierrez, J. P. M., Hinkley, T., Taylor, J. W., Yanev, K. & Cronin, L. Evolution of oil droplets on a chemorobtic platform. Nat. Commun. 5, 5571 (2014).

  • 285.

    Krein, M., Huang, T. W., Morkowchuk, L., Agrafiotis, D. K. & Breneman, C. M. in Statistical Modelling of Molecular Descriptors in QSAR/QSPR (eds Dehmer, M., Varmuza, K., Bonchev, D. & Emmert-Streib, F.) 33–64 (Wiley-Blackwell, Weinheim, 2012).

  • 286.

    Seffers, G. I. Scientists pick AI for lab partner. AFCEA https://www.afcea.org/content/scientists-pick-ai-lab-partner (2017).

  • 287.

    Kaur, N. & Sood, S. K. An energy-efficient architecture for the Internet of Things (IoT). IEEE Syst. J. 11, 796–805 (2017).

  • 288.

    Jacoby, M. The future of low-cost solar cells. Chem. Eng. News 94, 30–35 (2016).

  • 289.

    Snyder, G. J. & Toberer, E. S. Complex thermoelectric materials. Nat. Mater. 7, 105–114 (2008).

  • 290.

    Korgel, B. A. Materials science: composite for smarter windows. Nature 500, 278–279 (2013).

  • 291.

    Mathews, C. Battery storage: power of good can flow in SA. Financial Mail https://www.businesslive.co.za/fm/fm-fox/2017-06-29-battery-storage-power-of-good-can-flow-in-sa/ (2017).

  • 292.

    Zhang, C. et al. Thienobenzene-fused perylene bisimide as a non-fullerene acceptor for organic solar cells with a high open-circuit voltage and power conversion efficiency. Mater. Chem. Front. 1, 749–756 (2017).

  • 293.

    Yan, Y. G., Martin, J., Wong-Ng, W., Green, M. & Tang, X. F. A temperature dependent screening tool for high throughput thermoelectric characterization of combinatorial films. Rev. Sci. Instrum. 84, 115110 (2013).


  • ITIL Process Integration in the Context of Organization Environment | killexams.com real questions and Pass4sure dumps

    Providing IT services to customers with better, guaranteed quality has been the aim of many diverse efforts, undertaken under the common denominator "IT Service Man- agement". Lately, more organizational approaches to this issue have been gaining popularity, especially the guidelines of the IT Infrastructure Library (ITIL) for IT Service Management business processes. But just like with most other business processes, implementing ITIL processes in an efficient way involves building or procuring IT tools that can support them. On this aspect, ITIL itself offers only minimal guidance. This paper addresses basic issues of supporting ITIL with process-oriented tools such as workflow management systems. It discusses the need for workflow management support of service management processes to achieve service level compliance, and presents criteria for determining which IT Service Management processes can and should be supported by workflow management systems. The IT Service Management processes defined by ITIL are evaluated and divided into four basic process classes accord- ing to their suitability for workflow management, thereby laying a foundation to future top-down approaches for comprehensive ITIL tool support. I. INTRODUCTION IT Service Management (ITSM) is the discipline that strives to better the alignment of IT efforts to business needs and to manage the efficient providing of IT services with guar- anteed quality. A technical approach to these issues, namely infrastructure-oriented, technological IT Service Management, or Quality of Service (QoS) management, has been the focus of many research efforts in the area of network and systems management. But like in the early days of the Software Engineering discipline, when dissatisfaction of customers with the often unsuccessful outcome of large software development projects drove the focus from providing the individual pro- grammer with ever better tools to an inclusion and adaption of engineering and project management methods, now there is a fundamental shift happening in the ITSM field. Here it is mostly companies' discontent with a perceived lack of transparency in IT provisioning that drives the rising interest in organizational aspects of IT Service Management. In this trend towards embracing principles of organizational IT Service Management, the IT Infrastructure Library (ITIL) has, of all approaches, gained the biggest popularity and can - at least in Europe - now indeed be called a de-facto standard. The release of ISO 20000 (1), which is based on the ITIL- aligned BS15000 by the British Standards Institution (BSI) (2), will probably bring even wider adoption of ITIL in the industry. Even though it has only recently gained wider popularity, ITIL is not new. So called best practices for various aspects of IT operations have been published in Great Britain by the Central Computer and Telecommunications Agency (CCTA) under the IT Infrastructure Library label since the late 1980's. The CCTA has now become a part of the Office of Government Commerce (OGC), which took over ownership of ITIL. For the further development of ITIL, the OGC is cooperating with the BSI, the itSMF (IT Service Management Forum), an increasingly influential association of ITIL users, and also with the two IT Service Management examination institutes, the Dutch EXIN (Exameninstitut voor Informatica) and the British ISEB (Information Systems Examination Board). The OGC is still coordinating official developments though, and retains the ownership of ITIL.


    Enterprise Service Bus: Yet Another Paradigm Shift or Better Orchestration of Old Technologies | killexams.com real questions and Pass4sure dumps

    In my opinion, some of the more interesting marketing battles within the IT industry are fought over the enterprise software market. In that space, business fundamentals rule the day and some things never change - that is, if you control the API, you control the market. Essentially, the vendor(s) with the best technical strategy, commitment to the market and ability to execute usually dominate. The others either fall by the wayside, are acquired or settle for their technology to be resold by larger vendors.

    While SOA and Web services are standards-based to a large degree, the Enterprise Service Bus (ESB) "specification" is, in many ways, wide open. Although that can be a good thing, too many standards can hamper software developer productivity. An SOA, including an ESB, either using a commercial product, open source or custom made is key to having a truly scalable, enterprise-wide solution. A modern ESB is capable of dynamically transforming Web service payloads in a deterministic way through a metadata-enabled, policy-driven configuration environment and intelligently routing the messages to the corporate pipeline.

    Nevertheless, while meta-data and model-driven programming are the wave of the future, whether the implementation is a Spring Web Flow, a standard Web service or an ESB, most organizations have limited tolerance for protracted analysis and system design lifecycle phases, which are required to configure these systems properly. It is my opinion that this work ethic needs to be seriously reconsidered.

    Participants in the SOA Software Market

    Not since the client-server paradigm shift and early days of J2EE has a market materialized with so much potential. In this market, vendor strategies range from automating the lofty, C-level, SOA governance process (i.e. CA's Clarity) to providing search capabilities that utilize the XQuery standard (i.e. Mark Logic).

    XQuery is a technology under development by the World Wide Web Consortium that is designed to query collections of XML data -- not just XML files, but anything that can appear as XML, including relational databases. XQuery has broad support from IBM, Microsoft, and Oracle as well as application server vendors such as BEA and Software AG. These vendors have clearly indicated that SOA is a primary market focus.

    Albeit, to brand yourself as an SOA vendor, it appears that all you really need to have is a track record for building service-based software. Generically speaking, a service can be an MQSeries Manager, an EJB (Enterprise Java Bean), a basic HTTP service or robust asynchronous messaging environment. For example, TIBCO, a traditional middleware vendor strong in the financial services industry with a solid reputation for delivering financial data, is competing with the dominant players and moving into the business process automation segment of this market. Oddly enough, I know of one large pharmaceutical company that is using Tibco's Business Works as an "interim" SOA solution, before deciding on IBM or BEA. This organization is clearly underestimating Tibco's ability to become a major SOA platform.

    A Generic Service Model

    In general, an SOA that utilizes an ESB exposes a service as a proxy. Communication from the client to the ESB or ESB to the business service can be over HTTP, JMS, SMTP or FTP.

    Vendor Selection Process

    One way to determine which vendor(s) are appropriate for your organization is to know your Web services "system" Use Cases, such as:

  • The need for disparate data integration (Oracle Fusion Middleware, IBM Websphere ESB)
  • A high-performance, guaranteed delivery message integration backbone (Tibco BusinessWorks, WebMethods Fabric, Sun/SeeBeyond, IBM Websphere, BEA AquaLogic)
  • A secure SOA infrastructure, including service monitoring, hub integration and business process reuse (IBM Websphere and Tivoli, Oracle Fusion Middleware, Tibco Business Works, BEA AquaLogic)
  • A low-end, no-coding, configuration environment, an alternative to the custom, home-grown solution (Sonic, Fiorano, Cape Clear)
  • A network services gateway for B2B, process orchestration and protocol brokering (IBM, Tibco, WebMethods, BEA)
  • Service Architecture

    Today, an SOA architecture that utilizes a "packaged" ESB is clearly at the top of the list of the enterprise software vendors, such as IBM, Microsoft, BEA and Oracle. ESBs are essentially all about integration and in some ways there is nothing new here at all -- routing, transformation and system integration.

    What is different are the considerable number of customers facing Web Service standards that work in conjunction with a modern ESB in a seamless fashion. Not since the ill-fated DCE (Distributed Computing Environment) has there emerged a model that can truly support the disparate technologies of the enterprise. However, just like DCE, which had a reputation for having long lead times for software releases and being hard to administer, a true SOA represents a complex software architecture.

    So, beware the mythmaker. The mythmaker usually recommends that you have to tear down the old technology to make room for the new. However, Web service and application point-to-point integrations are time consuming and expensive projects. A technical strategy is required to move the organization to an SOA over the longer run that includes integration with legacy technologies. For organizations of any scale, a methodology and release strategy is required; any other approach would be a fool's errand. It is better to face the fact that provisioning, integrating and managing services is hard work. This isn't like build stunning, flashy, experience design Web sites; integration implementations are, for the most part, painstakingly tedious, operator-less processing style programming efforts.

    Strategy and Methodology

    SOA and Web services are, for the most part, an improvement in B2B technologies and standards for the Internet, including XML. An SOA doesn't necessarily mean you must expose all services as Web services, but there's a strong case for implementing B2B functionality as a Web service. So, during the discovery phase of an SOA project, a good candidate for a Web service is B2B functionality. Conversely, the technology doesn't have to be limited to B2B. It does represent a bridge technology for communicating between disparate environments; however, the SOA model, which uses Web service as its enabling technology, addresses a more complex problem set.

    Although, even season architects disagree on:

  • What constitutes a solid Web service?
  • What types of applications or processes should be converted into a Web Service?
  • How fine-grained should the Web service be?
  • When and how should an ESB be utilized in the architecture?
  • What protocols should be relied on?
  • Indeed, a colleague of mine stated that to be a service it should be extendable. In my opinion that is exactly what you don't want; reuse of Web services is not gained through extendibility, but by making the service available to many consumers. This is an age old object-orientation controversy: When to extend an object and when to embed it.

    Nevertheless, many organizations that have implemented an enterprise-wide portal technology have realized through that process that a certain amount of guidance is required to insure success. At the minimum, identify a set of SOA artifacts before pursuing an enterprise-wide SOA and develop a roadmap.

    The Technology Landscape: Vendor Strategy and Tactics

    While the SOA software industry clearly has room for many participants, at the enterprise-wide software grade, the usual suspects will dominate. In the March 16, 2006 issue of Network Computing, BEA's AquaLogic Service Bus (ALSB) was the Editor's Choice during a vendor lab test of eight ESB suites, with Oracle being the runner-up. However, this survey focused on core ESB features, and not enterprise-wide features such as ubiquitous integration, process management, workflow and activity monitoring where IBM excels.

    BEA

    ALSB is a comprehensive enterprise grade ESB, which could serve as the heart of your SOA infrastructure. BEA has combined messaging and management in a single environment. BEA enjoys a reputation in the J2EE software market for being out in front of the other vendors with respect to J2EE spec compliance. Now BEA has turned its attention to providing a comprehensive SOA infrastructure, while again supporting the important standards, such as WS-Policy, WSDL, XQuery and WS-Security. BEA also has added a certain amount of their own technology to the SOA mix. In ALSB terms, pipelines have stages in which logical choices and transformations can occur. A transformation is where you need to change the format of the data from one type to another type or perhaps augment or even split the message/document in the bus. These transformations are part of a pipeline which is processing the message/document as it moves through various stages.

    BEA, like IBM and Oracle, is starting to be able to leverage other components within its software portfolio. ALSB uses a lightweight version of WebLogic Portal for administration and operation. This is probably a plus for BEA, which in the past tended to put too much functionality in its application server. Other enterprise-grade vendors tend to have a more distributed approach to software engineering.

    Even though BEA would consider itself to be a complete SOA infrastructure, architects will still see the need to augment the ESB with tool adapters, possibly more powerful transformation and extraction tools, specialized B2B components, and possibly another BPM engine, even though BEA recently purchased Fuego for BPM. BEA, through their portal acquisition of Plumtree, clearly sees the need to sell to the business user and not just the technologist, as I believe they have successfully done in the past. The SOA business model is an enterprise-wide model and has to be implemented with that type of scope, if it is to be successful. Only senior business analysts truly have that kind of perspective; BEA is now trying to woo that constituency.

    IBM

    IBM has, in reality, been in the SOA market for a long time. In some organizations, the existence and use of MQSeries represents the ESB and for those organizations will remain an interim ESB. However, IBM has had a series of modern process orchestration tools starting with the acquisition of CrossWorlds, which was re-branded to WBI (WebSphere Business Integrator) and then Server Foundation, which really never got any traction. IBM has had a difficult time differentiating WBI from ETL type tools, given its large software portfolio.

    Their current incarnation of ESB is Websphere ESB. Because IBM has a number of hardware platforms to support, IBM tends to make a market for their technology well in advance of a viable product being shipped. One brilliant strategic decision that IBM did make was to standardize its WebSphere tooling around Eclipse, a popular IDE in the Java developer community.

    The next generation Eclipse-based tool is specifically designed to build and deploy business processes based on SOA. IBM states the tools are easy to use and require minimal programming skills. However, while IBM taunts its "on demand" abilities, in reality, it suffers from a reputation that always puts it squarely behind BEA with respect to ease of implementation. Indeed, understanding IBM's marketing terminology is perhaps a metaphor for understanding its software applications. In fairness to IBM, IBM eventually delivers a robust system that can be used for enterprise-wide deployment.

    Oracle

    If you are an Oracle DB shop and your basic SOA system Use Case revolves around integration with disparate data sources, Oracle Fusion Middleware appears to be a solid platform. From a data-centric perspective, while vendors such as IBM and BEA focus on (XML) data analysis of in transit and data at rest using XQuery and XPath, Oracle BI and analytic capabilities are still centered on the DBMS. Oracle's Fusion Middleware does include SOA process and management, so a viable SOA infrastructure is achievable.

    Perhaps Oracle's best strategic decision of the year was to not purchase JBoss, as was indicated by the rumor mill. EJB 3.0, JBoss's area of specialization, is a bloated spec that is encumbered by the need to support existing functionality (i.e. deployment descriptors) as well as new functionality (i.e. annotations), which JBoss viewed as mandatory even though the constructs do virtually the same thing. Today's architects are more interested in building services with lightweight data-centric containers. Oracle is now in position to acquire several of the more nimble SOA pure-plays in order to augment and complete its SOA offering.

    Open Source

    Today, SOA and ESB is an area where there is maximum hype and minimum understanding regarding how the holistic model will be designed and implemented. In larger organizations, the enterprise architects may be planning to move to IBM or BEA in the future, but they are still in their own product evaluation and learning phases. Therefore, enterprising technologies within the organization are building a case for implementing "interim" custom solutions by wrapping Spring services or using other open source technologies such as IONA's Celtix, an open source ESB.

    IONA's model is to give away their software and sell their professional services in order to "help organizations take advantage of open source and to ensure the successful adoption of SOA." While technologies like Spring and IONA represent the nuts and bolts of an SOA, companies such as Savvion are providing free copies of their Process Modeler. The tool provides model simulation and functionality for collaboratively building executable business processes. SOA is clearly not a packaged environment and one way or another an organization will have to assemble a certain amount of technologies and technical expertise to pull it off.

    The OASIS (http://www.oasis-open.org) SOA technical committees focus on creating standards to help interoperability for industry computing environments. They don't provide a "how to" for developing the whole enterprise system from beginning to end. Each organization has to decide and tailor the appropriate software methodology for their purposes.

    The OASIS SOA TC will develop a Reference Model. This is primarily to address SOA being used as a term in an increasing number of contexts and specific technology implementations. Sometimes, the term is used with differing - or worse, conflicting - understandings of implicit terminology and components. This Reference Model is being developed to encourage the continued growth of different and specialized SOA implementations while preserving a common layer of understanding about what SOA is.

    Pushing the Edge of Technology

    I know of an insurance company that was analyzing 300 slightly different transformations and they wanted to know if there was a way in which a vendor-purchased ESB could either template or build transformations on the fly. Basically, they wanted to create XQueries, based upon a set of business rules and make the transformation process totally dynamic. There are a number of ESBs that would be appropriate here that support XQuery. For example, XQuery is used in several of BEA products: WebLogic Integration, ALSB and Data Services Platform. Essentially, the operative words that surface the need for a service bus are routing, transformation and mapping. The open question then becomes is it for enterprise use or is it needed for one specific department. I find that many Architects are now grappling with this decision and that if the need is departmental, then it does not require an ESB.

    Savvy architects today tend to look for certain distinct patterns that indicate the need for a Web service or ESB. Currently, I am working with a major healthcare provider that is interested in significantly enhancing an existing application that routes and queues open claims and claims adjustments to a number of claims management systems. Claims data is routed based on certain business rules (that is, area of expertise, training, dollar amounts, etc.) to adjusters. There is limited transformation required. Additionally, new requirements state a need to access an external environment for provider reference data. This clearly indicates the need for a Web service.

    Managers on the project envision the new application as a significant modification of the existing J2EE application that is five years old. From a software perspective, this is a lifetime. I see the need for a modern ESB, given the non-standard constructs used in the existing system, such as threading, lack of separation of business logic from the presentation layer and polling versus MDB-style listeners. They are still in the design phase, so a decision regarding the reference architecture is still under way. I'll keep you posted on the outcome.

    Implications

    A recent Network Computing poll indicated that about 54 percent of respondents said they have implemented ESB or will do so this year. Although, out of this group, it appears to be indeterminate how many respondents actual have already implemented an ESB. Granted, a concise definition of ESB could be an elusive. Basically, an ESB has routing, transformations, and protocol support, and orchestration and integration capabilities. Respondents indicated that the biggest barrier to ESB integration was the lack of technical expertise and security concerns. Fortunately, any lifecycle methodology worth a salt would address these issues during the scope or design phase.

    References

    Develop a Service-Oriented Architecture Methodologyhttp://my.advisor.com/doc/17991

    Use Spring Web Flow with IBM WebSphere Application Server 5http://www.websphereadvisor.com/doc/17907

    Use Enterprise Generation Language in a Service-Oriented Architecturehttp://www.websphereadvisor.com/doc/17767

    About the Author

    Frank Teti is an industry analyst and principal architect. He can be reached at frank_teti@hotmail.com.



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