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Test Code : 1Z0-540
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: 80 real Questions

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Oracle Oracle VM 2 for

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REDWOOD SHORES, CA--(Marketwire - Jan 22, 2013) - Oracle ( NASDAQ : ORCL )

information records

  • Oracle today introduced the well-known availability of Oracle VM free up 3.2, a key element in Oracle's computing device to statistics heart virtualization portfolio, offering superior operational efficiency with better ease-of-use, and greater computerized approaches together with complete command-line guide.
  • Oracle VM supervisor now offers unified virtualization management for Oracle SPARC T-series Servers running Oracle VM Server for SPARC as well as x86-based servers working Oracle VM Server for x86.
  • stronger Operational effectivity and increased Flexibility at a Fraction of the can charge

  • Designed for ease of expend and speedy deployment, original features of Oracle VM three.2 consist of:
  • Broader deployment decisions
  • In addition to x86 virtualization management, Oracle VM supervisor can now find SPARC servers and create and control Oracle VM Server for SPARC domains to enable unified and centralized management in mixed facts centers, improving operational effectivity.
  • Oracle VM manager additionally contains MySQL industry version to be used because the administration repository at no extra can charge. Oracle VM purchasers can now decide to expend Oracle Database industry version, Oracle Database common edition or MySQL commercial enterprise edition because the Oracle VM manager repository when deploying in construction environments.
  • enhanced automation and ease-of-use, for extra effectivity in huge environments
  • Full command-line aid makes it feasible for effortless automation: Oracle VM supervisor Command Line Interface (CLI) helps the equal functions as the Oracle VM supervisor browser interface. common initiatives can moreover be scripted and totally automated, saving time and lowering the random of human error.
  • automatic Oracle VM manager returned-up: When the expend of MySQL industry edition because the Oracle VM manager database, the administration repository is immediately backed-up, enabling speedy healing of the administration ambiance if necessary.
  • Tag objects for faster identification of key companies in colossal environments: permits custom tags to be created and used to filter the view of VMs and servers in the consumer interface (UI), enabling users to at once establish and act on certain subsets of VMs or servers.
  • "Multi-opt for" of objects:  enables clients to win action on discrete objects in one step for faster operations in huge environments.
  • At-a-glance fitness repute: A fitness repute tab within the Oracle VM supervisor UI offers accelerated and summarized fitness and status reporting on VM data such as memory and CPU usage, permitting for swift identification of considerations earlier than they turn into issues.
  • Direct import of digital machines into an Oracle VM supervisor ambiance: Reduces the number of steps required to hasten VMs into an Oracle VM manager installation.
  • Oracle has moreover delivered Oracle VM Server for SPARC 3.0, providing more than a few vital original elements corresponding to computerized at ease are animate migration, energy administration, and dynamic aid management, enabling optimum-in-class cloud infrastructure services with the Oracle SPARC T-sequence servers.
  • With Oracle VM Server for SPARC three.0, users can are animate migrate Oracle Solaris 10 and Oracle Solaris eleven logical domains effortlessly and securely across differing CPU varieties, the expend of cpu crypto accelerators, to permit zero downtime cutovers of domains to more moderen technology environments.
  • Oracle VM continues be available as a free download with zero license freight and world-classification industry guide.
  • helping Quote

  • "With the latest unencumber of Oracle VM, Oracle continues to convey colossal can charge-of-ownership and manageability advantages to x86- and now SPARC virtualization directors," referred to Wim Coekaerts, senior vice president, Linux and Virtualization Engineering, Oracle. "the new release helps users unify and automate their environments on a bigger scale to achieve the greatest effectivity from their infrastructure."
  • assisting supplies

    About Oracle Oracle engineers hardware and application to work together in the cloud and for your information middle. For extra guidance about Oracle ( NASDAQ : ORCL ), hunt recommendation from www.oracle.com

    logos Oracle and Java are registered emblems of Oracle and/or its affiliates. other names could be emblems of their respective house owners.


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    nowadays Oracle introduced advocate for the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Designed to meet the needs of the next generation of analytics, laptop discovering, and AI, Oracle is providing GPU-accelerated deep gaining knowledge of and HPC containers from the NVIDIA GPU Cloud container registry.

    we are very excited about this collaboration with NVIDIA. because the world of computing continues to thrust the boundaries of what’s viable, we're proposing their customers with the software, tools and cloud infrastructure necessary to transparent up probably the most complicated challenges,” observed Clay Magouyrk, senior vice chairman, utility development, Oracle Cloud Infrastructure. “no matter if you are an engineer, facts scientist, researcher or developer, we're bringing the power of compute and cloud to your fingertips.

    From enabling self reliant automobiles to using global climate simulations, swift growth in AI and HPC has changed total industries whereas moreover traumatic massive raises in complexity and compute energy. HGX-2 is designed for multi-precision computing to accelerate probably the most stressful applications through unleashing 2 petaflops of computing dash and half a terabyte of total GPU memory with 16 NVIDIA Tesla V100 Tensor Core GPUs interconnected with NVSwitch. aiding HGX-2 on each Oracle Cloud Infrastructure bare-metallic and digital computer circumstances, Oracle and NVIDIA are assisting consumers unravel the most suitable AI and HPC challenges for probably the most advanced workloads.

    Oracle is additionally maxim assist for RAPIDS open-supply utility added nowadays through NVIDIA for executing conclusion-to-conclusion records science practising pipelines accelerated on NVIDIA GPUs. RAPIDS may be obtainable this week on Oracle Cloud Infrastructure by means of NGC. RAPIDS dramatically hastens facts science pipelines with the aid of relocating workflows onto the GPU. This optimizes machine learning practicing with extra iterations for more suitable model accuracy. information scientists can privilege now combine RAPIDS with trouble-free integration and minimal code changes, enabling them to tremendously accelerate the Python data science toolchain. With this original offering and sheperd for NGC containers, Oracle and NVIDIA are permitting shoppers to effectively installation containerized applications and frameworks for HPC, records science and AI and race them seamlessly on Oracle Cloud Infrastructure.

    Oracle Cloud Infrastructure is moreover working with NVIDIA to advocate RAPIDS across its platform, including the Oracle facts Science Cloud, to extra hasten up purchasers’ finish to-end records science workflows. RAPIDS utility runs seamlessly on the Oracle Cloud, enabling shoppers to aid their HPC, AI and facts science needs, complete whereas taking handicap of the portfolio of GPU cases attainable on Oracle Cloud Infrastructure.

    This original collaboration with Oracle will assist gas remarkable innovation across a wide array of industries,” noted Ian Buck, vp and accepted manager of Accelerated Computing at NVIDIA. “by course of taking handicap of NVIDIA’s latest technologies, Oracle is neatly positioned to fulfill surges trendy for GPU acceleration for deep researching, high-efficiency computing, statistics analytics and computer getting to know.”

    check in for their insideHPC publication


    Oracle Is the primary Public Cloud provider to aid the NVIDIA HGX-2 Platform | killexams.com real Questions and Pass4sure dumps

    MUNICH, Oct. 10, 2018 — Oracle and NVIDIA nowadays introduced that Oracle is the first public cloud issuer to advocate the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure, to fulfill the wants of the subsequent era of analytics, computer gaining knowledge of and AI. The agencies are moreover asserting the common availability of sheperd for GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud (NGC) container registry on Oracle Cloud Infrastructure.

    From enabling self reliant cars to driving world local weather simulations, quick growth in AI and HPC has converted entire industries whereas additionally worrying considerable raises in complexity and compute energy. HGX-2 is designed for multi-precision computing to hasten up probably the most disturbing purposes by means of unleashing 2 petaflops of computing dash and half a terabyte (TB) of complete GPU reminiscence with 16 NVIDIA Tesla V100 Tensor Core GPUs interconnected with NVSwitch. assisting HGX-2 on both Oracle Cloud Infrastructure naked-metal and virtual machine circumstances, Oracle and NVIDIA are helping consumers transparent up the highest property AI and HPC challenges for probably the most advanced workloads.

    Oracle is moreover announcing aid for RAPIDS open-source software brought these days by course of NVIDIA for executing end-to-conclusion statistics science practicing pipelines accelerated on NVIDIA GPUs. RAPIDS can be attainable this week on Oracle Cloud Infrastructure via NGC. RAPIDS dramatically quickens records science pipelines with the aid of touching workflows onto the GPU. This optimizes computer getting to know practicing with extra iterations for enhanced mannequin accuracy. records scientists can privilege away integrate RAPIDS with bother-free integration and minimal code alterations, enabling them to drastically hasten up the Python data science toolchain. With this original offering and aid for NGC containers, Oracle and NVIDIA are permitting valued clientele to effortlessly install containerized purposes and frameworks for HPC, records science and AI and race them seamlessly on Oracle Cloud Infrastructure.

    Oracle Cloud Infrastructure is additionally working with NVIDIA to aid RAPIDS across its platform, including the Oracle facts Science Cloud, to further hasten up consumers’ conclusion to-end records science workflows. RAPIDS application runs seamlessly on the Oracle Cloud, enabling valued clientele to advocate their HPC, AI and information science wants, complete while taking competencies of the portfolio of GPU instances accessible on Oracle Cloud Infrastructure.

    “we are very excited about this collaboration with NVIDIA. because the world of computing continues to thrust the boundaries of what’s viable, they are presenting their valued clientele with the software, tackle and cloud infrastructure crucial to transparent up probably the most complicated challenges,” noted Clay Magouyrk, senior vice president, software development, Oracle Cloud Infrastructure. “whether you are an engineer, data scientist, researcher or developer, they are bringing the power of compute and cloud to your fingertips.

    “This original collaboration with Oracle will aid gas brilliant innovation throughout a considerable orbit of industries,” spoke of Ian Buck, vice chairman and regular supervisor of Accelerated Computing at NVIDIA. “by using taking skills of NVIDIA’s latest applied sciences, Oracle is well placed to meet surges distinguished for GPU acceleration for deep discovering, excessive-performance computing, information analytics and machine studying.”

    About Oracle Cloud Infrastructure

    Oracle Cloud Infrastructure is the commercial enterprise Infrastructure as a carrier (IaaS) platform. businesses of complete sizes signify on Oracle Cloud to race commercial enterprise and cloud native functions with mission-essential efficiency and core-to-aspect protection. by using running both common and original workloads on a complete cloud that comprises compute, storage, networking, database, and containers, Oracle Cloud Infrastructure dramatically raises operational effectivity and lowers complete cost of possession. For greater assistance, visit https://cloud.oracle.com/iaas.

    About Oracle

    The Oracle Cloud presents comprehensive SaaS software suites for ERP, HCM and CX, plus greatest-in-category database Platform as a carrier (PaaS) and Infrastructure as a service (IaaS) from statistics centers complete the course through the Americas, Europe and Asia. For extra assistance about Oracle, gratify consult with us at www.oracle.com.

    About NVIDIA

    NVIDIA‘s invention of the GPU in 1999 sparked the boom of the laptop gaming market, redefined modern computer pix and revolutionized parallel computing. more recently, GPU deep studying ignited up to date AI — the subsequent era of computing — with the GPU appearing because the brain of computers, robots and self-using vehicles that may understand and win into account the world. greater assistance at http://nvidianews.nvidia.com/.

    source: Oracle


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    1Z0-540 exam Dumps Source : Oracle VM 2 for x86 Essentials

    Test Code : 1Z0-540
    Test denomination : Oracle VM 2 for x86 Essentials
    Vendor denomination : Oracle
    : 80 real Questions

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    Edge computing: The situation of the next IT transformation | killexams.com real questions and Pass4sure dumps

    edge-computing-intro-header.jpg Image: metamorworks, Getty Images/iStockphoto

    In recent years, computing workloads beget been migrating: first from on-premises data centres to the cloud and now, increasingly, from cloud data centres to 'edge' locations where they are nearer the source of the data being processed. The goal? To boost the performance and reliability of apps and services, and reduce cost of running them, by shortening the distance data has to travel, thereby mitigating bandwidth and latency issues.

    That's not to Say that on-premises or cloud centres are lifeless -- some data will always need to be stored and processed in centralised locations. But digital infrastructures are certainly changing. According to Gartner, for example, 80 percent of enterprises will beget shut down their traditional data centre by 2025, versus 10 percent in 2018. Workload placement, which is driven by a variety of industry needs, is the key driver of this infrastructure evolution, says the analyst firm:

    With the recent enlarge in business-driven IT initiatives, often outside of the traditional IT budget, there has been a rapid growth in implementations of IoT solutions, edge compute environments and 'non-traditional' IT. There has moreover been an increased focus on customer undergo with outward-facing applications, and on the direct impact of impecunious customer undergo on corporate reputation. This outward focus is causing many organizations to rethink placement of unavoidable applications based on network latency, customer population clusters and geopolitical limitations (for example, the EU's common Data Protection Regulation [GDPR] or regulatory restrictions).

    There are challenges involved in edge computing, of course -- notably centering around connectivity, which can be intermittent, or characterised by low bandwidth and/or high latency at the network edge. That poses a problem if great numbers of smart edge devices are running software -- machine learning apps, for illustration -- that needs to communicate with central cloud servers, or nodes in the intervening 'fog'. Solutions are on the way, however.

    With edge computing sitting at the peak of Gartner's 2018 Hype Cycle for Cloud Computing, there's plenty of scope for incorrect starts and disillusionment before standards and best practices are settled upon, and mainstream adoption can proceed. This introduction to ZDNet's special report looks to set the scene and assess the current situation of play.

    Definitions

    Edge computing is a relatively original concept that has already been associated with another term, 'fog computing', which can lead to confusion among non-specialist observers. Here are some definitions that will hopefully clarify the situation.

    Futurum ResearchUnlike Cloud Computing, which depends on data centers and communication bandwidth to process and analyze data, Edge Computing keeps processing and analysis near the edge of a network, where the data was initially collected. Edge Computing (a category of Fog Computing that focuses on processing and analysis at the network node level)...should be viewed as a de facto element of Fog Computing.

    State of the Edge 2018The delivery of computing capabilities to the logical extremes of a network in order to improve the performance, operating cost and reliability of applications and services. By shortening the distance between devices and the cloud resources that serve them, and moreover reducing network hops, edge computing mitigates the latency and bandwidth constraints of today's Internet, ushering in original classes of applications. In practical terms, this means distributing original resources and software stacks along the path between today's centralized data centers and the increasingly great number of devices in the field, concentrated, in particular, but not exclusively, in close proximity to the ultimate mile network, on both the infrastructure and device sides.

    451 Research/OpenFog Consortium[Fog] begins on one 'end' with edge devices (in this context, they define edge devices as those devices where sensor data originates, such as vehicles, manufacturing tackle and 'smart' medical devices) that beget the requisite compute hardware, operating system, application software and connectivity to participate in the distributed analytics Fog. It extends from the edge to 'near edge' functions, such as local datacenters and other compute assets, multi-access-edge (MEC) capabilities within an enterprise or operator radio access network, intermediate computing and storage capabilities within hosting service providers, interconnects and colocation facilities, and ultimately to cloud service providers. These locations beget integrated or host 'Fog nodes', which are devices capable of participating in the overall distributed analytics system.

    David Linthicum (Chief Cloud Strategy Officer at Deloitte Consulting)"With edge, compute and storage systems reside at the edge as well, as close as feasible to the component, device, application or human that produces the data being processed. The purpose is to remove processing latency, because the data needn't be sent from the edge of the network to a central processing system, then back to the edge...Fog computing, a term created by Cisco, moreover refers to extending computing to the edge of the network. Cisco introduced its fog computing in January 2014 as a course to bring cloud computing capabilities to the edge of the network...In essence, fog is the standard, and edge is the concept. Fog enables repeatable structure in the edge computing concept, so enterprises can thrust compute out of centralized systems or clouds for better and more scalable performance."

    Here's how the OpenFog Consortium visualises the relationship between data-generating 'things' at the network edge, cloud data centres at the core, and the fog infrastructure in between:

    openfogdiagram.png

    openfogdiagram.png

    Image: OpenFog Consortium Market estimates

    According to B2B analysts MarketsandMarkets, the edge computing market will be worth $6.72 billion by 2022, up from an estimated $1.47bn in 2017 -- a CAGR (Compound Annual Growth Rate) of 35.4 percent. Key driving factors are the advent of the IoT and 5G networks, an enlarge in the number of 'intelligent' applications, and growing load on cloud infrastructure:

    Edge computing market dynamics

    Drivers
  • Growing load on cloud infrastructure
  • Wide orbit of applications in different industries
  • Increase in the number of bright applications
  • Restraints
  • Security and privacy concerns related to edge computing
  • Opportunities Challenges
  • Inadequate industry standards and interoperability issues
  • [Data: MarketsandMarkets]

    Among the plumb segments considered by MarketsandMarkets, Telecom and IT is expected to beget the biggest market participate during the 2017-2022 forecast period. That's because enterprises faced with high network load and increasing claim for bandwidth will need to optimise and extend their Radio Access Network (RAN) in order to deliver an efficient Mobile (or Multi-access) Edge Computing (MEC) environment for their apps and services.

    The fastest-growing segment of the edge computing market during the forecast epoch is likely to be retail, says MarketsandMarkets: high volumes of data generated by IoT sensors, cameras and beacons that feed into smart applications will be more efficiently collected, stored and processed at the network edge, rather than in the cloud or an on-premises data centre.

    Grand View Research takes a more conservative view, estimating that the edge computing market will be worth $3.24 billion by 2025, although that's quiet a 'phenomenal' CAGR of 41 percent over the 2017-2025 forecast period. Regionally, North America will lead the market due to increasing penetration of IoT devices in the US and Canada, said the research firm, while the plumb segment with the highest CAGR will be healthcare and life sciences, thanks to "storage capabilities and real-time computing offered by edge computing solutions". SMEs will witness the highest CAGR (46.5%) over the forecast period, said imposing View Research, thanks to the faculty of edge computing solutions to reduce operating costs.

    The most optimistic growth assess comes from 451 Research, in an October 2017 study -- Size and impact of Fog Computing Market -- commissioned by the OpenFog Consortium. This wide-ranging research puts the market opening for fog computing at $18.2 billion by 2022, up from $1.03bn in 2018 and $3.7bn in 2019 -- a CAGR of 104.9 percent between 2018 and 2022.

    451-openfogmarket-forecast-1.png

    451-openfogmarket-forecast-1.png

    Data: 451 Research & OpenFog Consortium / Chart: ZDNet

    According to 451 Research, the leading verticals for fog computing in 2022, in terms of market share, will be utilities, transportation, healthcare, industrial and agriculture.

    451-openfogmarket-forecast-22.png

    451-openfogmarket-forecast-22.png

    Image: 451 Research & OpenFog Consortium

    When it comes to the fog computing ecosystem in 2022, 451 Research breaks down the components love this:

    451-openfogmarket-forecast-3.png

    451-openfogmarket-forecast-3.png

    Data: 451 Research & OpenFog Consortium / Chart: ZDNet

    Hardware components are well out in front, with a 42.1 percent slice of the 2022 pie, followed by fog applications/platforms (21.5%) and fog services (20.4%). No sensation hardware vendors and cloud application/services providers are queueing up to score involved in the fast-developing edge/fog market.

    Despite their different emphases, these forecasts gain it transparent that the 'perfect storm' for edge computing is being created by a rapidly increasing number of internet-connected devices and the imminent advent of high-bandwidth, low-latency 5G networks. Ericsson's June 2018 Mobility Report summarises the expected developments in these areas.

    Whereas PCs, laptops, tablets and (to a lesser extent) mobile phones present flat growth between 2017 and 2023, IoT devices are taking off: those with wide-area connections will contemplate 30 percent CAGR, with short-range IoT devices showing significant but slower growth (17% CAGR). This results in an almost 80 percent (79.4%) enlarge in the number of connected devices between 2017 (17.5 billion) and 2023 (31.4 billion):

    ericsson-connected-devices.png

    ericsson-connected-devices.png

    * Cellular IoT devices are a subset of Wide-area IoT devices.

    Data: Ericsson Mobility Report, June 2018 / Chart: ZDNet

    As far as 5G is concerned, Ericsson expects the first data-only devices from the second half of 2018 and the first 5G smartphones in 2019. By 2023, following the advent of third-generation chipsets in 2020, the company forecasts that 1 billion 5G devices will be connected worldwide.

    ericsson-5g-devices.png

    ericsson-5g-devices.png

    CPE/FWT: Customer-Provided Equipment/Fixed Wireless Terminal

    Image: Ericsson Mobility Report, June 2018

    The first module-based 5G IoT devices, supporting ultra-low latency communications for industrial process monitoring and control, are expected during 2020, says Ericsson.

    Standards & organisations

    Any original IT initiative requires standards and best practices, and the early stages are often characterised by multiple groups and consortia with different agendas (despite often significant overlap in membership). Edge/fog computing is no exception.

    Fog computing, a term coined by Cisco, is backed by the OpenFog Consortium, which was founded in 2015 by Arm, Cisco, Dell, Intel, Microsoft and the Princeton University Edge Laboratory. Its mission statement reads (in part):

    Our efforts will define an architecture of distributed computing, network, storage, control and resources that will advocate intelligence at the edge of IoT, including autonomous and self-aware machines, things, devices, and smart objects. OpenFog members will moreover identify and develop original operational models. Ultimately, their work will aid to enable and drive the next generation of IoT.

    Edge computing is promoted by the EdgeX Foundry, an open-source project hosted by The Linux Foundation. EdgeX Foundry's goals include: building and promoting EdgeX as a common platform unifying IoT edge computing; certifying EdgeX components to ensure interoperability and compatibility; providing tools to quickly create EdgeX-based IoT edge solutions; and collaborating with material open-source projects, standards groups and industry alliances.

    According to EdgeX Foundry, "The project's sweet spot is edge nodes such as embedded PCs, hubs, gateways, routers, and on-premises servers to address key interoperability challenges where 'south meets north, east, and west' in a distributed IoT fog architecture".

    EdgeX Foundry's technical steering committee includes representatives from IOTech, ADI, Mainflux, Dell, The Linux Foundation, Samsung Electronics, VMWare and Canonical.

    There are two other industry bodies in this area: the Japan-focused EdgeCross Consortium, which was founded in November 2017 by Omron Corporation, Advantech, NEC, IBM Japan, Oracle Japan and Mitsubishi Electric; and the Industrial Internet Consortium, founded in 2014 by AT&T, Cisco, common Electric, Intel, and IBM.

    What the surveys say

    Edge Computing Index: From Edge to Enterprise

    futurumreport-cover.png

    futurumreport-cover.png

    Futurum Research surveyed over 500 North American companies (ranging from 500 to 50,000 employees) in late 2017 to learn their position on edge computing -- adoption and deployment, investment intent, and more. complete respondents exerted influence on edge computing investment decisions, said Futurum, with 41.8 percent being 'operational staff' and 25.6 percent at 'director, manager, team lead' level; only 8.6 percent were classed as 'executive, C-suite, owner, partner' though.

    Futurum reported that nearly three-quarters (72.7%) of companies had already implemented an edge computing strategy, or were in the process of doing so. Furthermore, almost complete (93.3%) intended to invest in edge computing in the next 12 months:

    futuruminvestmentoutlookchart.png

    futuruminvestmentoutlookchart.png

    Data: Futurum Research / Chart: ZDNet

    Futurum moreover curates a common Digital Transformation Index, which in 2018 spot 68 percent of companies in the 'leaders' and 'adopters' categories. So the fact that 72.7 percent of respondents are already investing in edge computing shows that this is a sweltering topic for tech-savvy businesses. However, Futurum moreover noted that "the eagerness of 93.3% of businesses to invest in edge computing in the next 12 months does not speak to the size of their investment".

    The positive vibes among Futurum's respondents continued when they were asked about the weight of edge computing data streams in their industry processes, with 71.8 percent describing these as 'critically' (22.2%) or 'very' (49.6%) important:

    futurumimportancechart.png

    futurumimportancechart.png

    Data: Futurum Research / Chart: ZDNet

    What were the key drivers of this enthusiasm for edge computing? For Futurum's respondents, it was 'improved application performance', followed by 'real-time analytics/data streaming':

    futurumuse-caseschart.png

    futurumuse-caseschart.png

    Data: Futurum Research / Chart: ZDNet

    The analyst firm interpreted these priorities as a reflection of the need for operational efficiency, suggesting that the relatively low ranking for IoT strategy -- often quoted as a canonical edge computing expend case -- "will likely enlarge in the coming years".

    Only 15.6 percent of Futurum's respondents aimed to retain edge computing and cloud computing sever -- a conclusion often driven by data and system security concerns, and a focus on compartmentalised operations, the research firm said. That leaves nearly 64 percent (63.9%) who had already deployed (28.3%) or were seeking (35.6%) combined edge/data centre analytics solutions, plus 20.5 percent who were unsure whether to combine these functions or retain them separate:

    futurumintegrationchart.png

    futurumintegrationchart.png

    Data: Futurum Research / Chart: ZDNet

    The 'unsure' and 'seeking' responses amount to 56.1 percent of the survey sample, which clearly represents a significant opening for edge computing providers.

    2018 Outlook for Fog Computing

    openfogsurvey-cover.png

    openfogsurvey-cover.png

    The OpenFog Consortium surveyed its 61 member organisations on the situation of fog computing in December 2017, finding that an impressive 70 percent of CEOs were vigilant of the fog computing initiatives happening on their watch.

    Budgets for fog computing in 2018 were generally increasing (40%) or staying the very (51%), with just 5 percent of respondents reporting a decrease. Initiatives were primarily based in the R&D department (51%) and overwhelmingly had IoT applications as their primary focus area (70%).

    Security was the number-one concern among OpenFog respondents (32%), followed by worries about early/unproven technology, interoperability and unclear ROI. The main drivers of interest in fog computing were latency and bandwidth issues. Respondents expected manufacturing, smart cities and transportation to be the top industry segments adopting fog computing, followed by energy, healthcare and smart homes.

    Key vendors

    Edge/fog computing can haul workloads away from cloud data centres, so it's no surprise to contemplate the cloud giants taking steps to avert those workloads from escaping their orbit.

    AmazonIntroduced at Amazon's 2016 re:Invent developer conference, AWS Greengrass builds on the company's existing IoT and Lambda (serverless computing) offerings to extend AWS to intermittently connected edge devices.

    "With AWS Greengrass, developers can add AWS Lambda functions to a connected device privilege from the AWS Management Console, and the device executes the code locally so that devices can respond to events and win actions in near real-time. AWS Greengrass moreover includes AWS IoT messaging and synching capabilities so devices can ship messages to other devices without connecting back to the cloud," said Amazon. "AWS Greengrass allows customers the flexibility to beget devices faith on the cloud when it makes sense, perform tasks on their own when it makes sense, and talk to each other when it makes sense -- complete in a single, seamless environment."

    aws-greengrass.png

    aws-greengrass.png

    Image: Amazon Web Services

    These are 'smart' edge devices, of course: Greengrass requires at least 1GHz of compute (either Arm or x86), 128MB of RAM, plus additional resources for OS, message throughput and AWS Lambda execution. According to Amazon, "Greengrass Core can race on devices that orbit from a Raspberry Pi to a server-level appliance".

    MicrosoftIntroduced at Microsoft's BUILD 2017 developer conference and generally available since June 2018, Azure IoT Edge allows cloud workloads to be containerised and race locally on smart devices ranging from a Raspberry Pi to an industrial gateway.

    Azure IoT Edge comprises three components: IoT Edge modules; the IoT Edge runtime; and IoT Hub. IoT Edge modules are containers that race Azure services, third-party services or custom code; they are deployed to IoT Edge devices and execute locally. The IoT Edge runtime runs on each IoT Edge device, managing the deployed modules, while IoT Hub is a cloud-based interface for remotely monitoring and managing IoT Edge devices.

    Here's how the different Azure IoT Edge elements suitable together:

    azure-iot-edge.png

    azure-iot-edge.png

    Images: Microsoft

    With common availability, Microsoft added original capabilities to Azure IoT Edge, including: open-source support; device provisioning, security and management services; and a simplified developer experience.

    google-edge-tpu.jpg

    google-edge-tpu.jpg

    Google's Edge TPU ASIC, compared to a 1 cent coin.

    Image: Google

    GoogleIn July 2018, Google announced two products for developing and deploying smart connected devices at scale: Edge TPU and Cloud IoT Edge. Edge TPU is a purpose-built small-footprint ASIC chip designed to race TensorFlow Lite machine-learning models on edge devices. Cloud IoT Edge is the software stack that extends Google's cloud services to IoT gateways and edge devices.

    Cloud IoT Edge has three main components: a runtime for gateway-class devices (with at least one CPU) to store, translate, process and extract intelligence from edge data, while interoperating with the ease of Google's Cloud IoT platform; the Edge IoT Core runtime that securely connects edge devices to the cloud; and the Edge ML runtime, based on TensorFlow Lite, that performs machine-learning inference using pre-trained models.

    google-cloud-iot-edge.png

    google-cloud-iot-edge.png

    Image: Google

    Both Edge TPU and Cloud IoT Edge are at the alpha testing stage at the time of writing (September 2018).

    Outlook

    The edge/fog computing transformation is one of those shifts in focus that occur periodically in computing -- from mainframes to desktop PCs, to on-premises data centres, to cloud data centres, for example. Now we're looking at a blend of existing elements, along with billions of smart IoT devices, bound together by an intervening 'fog' of gateways and nodes. Device connectivity has been a bottleneck holding back this transformation, but that's about to score a huge boost with the advent of 5G mobile networks.

    Any industry sector that can derive capitalize from the timely analysis of IoT data streams -- and that's pretty much complete of them -- will be interested in edge/fog computing. That's why there are huge opportunities for vendors at complete levels of the technology stack -- standards, networking, compute, storage, applications and services.

    With ever more data being generated, processed and stored in ever more locations, issues surrounding infrastructure management and data security, privacy and governance will become even more considerable than they are today. Let's hope those issues are addressed sooner rather than later.

    RECENT AND RELATED CONTENT

    Understanding Edge ComputingThe edge is that hypothetical space where a data heart resource can be accessed in the minimum amount of time. The location could be in the data center, on the desktop, or wherever there's a need.

    Microsoft Azure gets original tools for edge computing and machine learning (TechRepublic)Announced at the Microsoft Ignite conference today, these original features are designed to streamline the collection, processing and analysis of great volumes of data.

    VMware taps IoT to extend hybrid and multi-cloud environments to the edge (TechRepublic)At VMworld 2018, VMware unveiled its extended edge computing strategy to better control, secure, and scale customers' edge and IoT applications and solutions.

    IT leader's sheperd to edge computing (Tech Pro Research)Companies of complete sizes and across various industries are touching to edge computing to generate, collect, and analyze data so they can win immediate action on that information. This sheperd looks at the pros and cons of edge computing and how its real-world usage has been working out.


    Oracle Food and Beverage Enables Continued Innovation with Omnivore Integration | killexams.com real questions and Pass4sure dumps

    By PR Newswire

    Article Rating:

    October 1, 2018 08:00 AM EDT  

    REDWOOD SHORES, Calif., Oct. 1, 2018 /PRNewswire/ -- Oracle Food and Beverage has collaborated with Omnivore, a universal point of sale (POS) connection for restaurant app evolution and a Gold smooth member of Oracle PartnerNetwork (OPN), to animate restaurant operators to develop differentiated customer experiences and further streamline operations with their Oracle Food and Beverage investment. With this Omnivore connection, restaurant operators can easily win handicap of an ecosystem of third party solutions through a solitary point of integration into the Oracle Food and Beverage Simphony restaurant management platform.    

    Oracle Logo (PRNewsfoto/Oracle)

    "Guests are demanding engaging and personalized experiences from dining establishments and they believe continuous implementation of technology is essential to helping restaurant operators retain pace," said Chris Adams, vice president of strategy, Oracle Food and Beverage. "Through their collaboration with Omnivore, Oracle Food and Beverage is accelerating innovation in the restaurant community by making it easier than ever for operators to win handicap of the latest third party solutions."

    Omnivore connects restaurant point of sale to over 150 restaurant technologies, aligning brands with consumer, staff and advocate heart needs in order to grow transactions while minimizing expenses.

    "Together, Omnivore and Oracle Food and Beverage bring merchants a honest open, best-of-breed POS technology platform, giving restaurants access to the best available technologies to meet even the most creative brands' digital needs," said Mike Wior, CEO, Omnivore. "We're arrogant to aid Oracle customers navigate innovative third party solutions within a rapidly evolving digital landscape."

    Together Oracle and Omnivore are enabling operators to create a unique technology footprint that will enable restaurants to establish a competitive differentiation that reflects their guest experience. By creating a solitary source of integration into Oracle Food and Beverage restaurant management software and POS hardware, operators can leverage Omnivore to further streamline operations and quickly deploy original technologies faster than ever.

    About OracleThe Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centers throughout the Americas, Europe and Asia. For more information about Oracle (NYSE:ORCL), gratify visit us at www.oracle.com.

    About Oracle Food and BeverageOracle Food and Beverage, formerly MICROS, brings 40 years of undergo in providing software and hardware solutions to restaurants, bars, pubs, clubs, coffee shops, cafes, stadiums, and theme parks. Thousands of operators, both great and small, around the world are using Oracle technology to deliver exceptional guest experiences, maximize sales, and reduce running costs.

    For more information about Oracle Food and Beverage, gratify visit www.Oracle.com/Food-Beverage

    TrademarksOracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

    About OmnivoreRevolutionizing the worlds of hospitality and retail, Omnivore connects a retailer's point-of-sale (POS) with original technologies, driving engagement through the complete lifecycle of the consumer experience. Omnivore's cloud-based platform enables a solitary integration through their API, seamlessly facilitating the connections to POS systems now and into the future. The platform helps restaurants learn apps for payment, reservations, delivery, loyalty, analytics and more to connect with millions of consumers around the world. Omnivore enables access to real-time, property consumer smooth point of purchase intelligence. Located in the San Francisco Bay area, Omnivore is a privately held company. Visit omnivore.io.

    Cision View original content to download multimedia:http://www.prnewswire.com/news-releases/oracle-food-and-beverage-enables-continued-innovation-with-omnivore-integration-300721594.html

    SOURCE Oracle

    Copyright © 2007 PR Newswire. complete rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

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