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922-098 Communication Server 1000 Rls.5.0 Troubleshooting

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922-098 exam Dumps Source : Communication Server 1000 Rls.5.0 Troubleshooting

Test Code : 922-098
Test Name : Communication Server 1000 Rls.5.0 Troubleshooting
Vendor Name : Nortel
: 30 Real Questions

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Nortel Communication Server 1000 Rls.5.0

Microsoft-Nortel See Unified Communications positive aspects | Real Questions and Pass4sure dumps


Microsoft-Nortel See Unified Communications beneficial properties
  • with the aid of Kurt Mackie
  • 07/18/2007
  • A one-12 months-ancient partnership between Microsoft and Nortel on unified communications know-how, popular as the imaginitive Communications Alliance , is bearing fruit. both groups introduced this week that they've sold greater than 430,000 joint-options licenses thus far.

    The Alliance lately won three new consumers as well, together with Indiana university, U.k.-primarily based Worcestershire fitness counsel and Communications expertise services, and an IT and telephony issuer referred to as 4ward.

    Microsoft and Nortel fashioned the innovative Communications Alliance in July of final 12 months with the goal of delivering unified communications solutions to organizations. under the Alliance, the organizations initiated joint analysis and development efforts. They also created consumer demonstration centers and engaged in joint income and advertising and marketing.

    in the Alliance's initial press unencumber, Jeff Raikes, Microsoft's business Division president, cited that the joint unified communications answer would enable a "single identity throughout electronic mail, voice mail, voice over internet protocol (VoIP) name processing, rapid messaging and video."

    The Alliance's fundamental product is called Nortel Converged workplace, a unified communications device that integrates Nortel's VoIP telephony device with Microsoft's server technology.

    The main accessories of Converged workplace include:

  • Microsoft office Communicator 2005 delicate client
  • Microsoft workplace live Communications Server 2005, and
  • Nortel verbal exchange Server a thousand free up 4.5 or bigger IP PBX.
  • there may be also a Nortel software core component that helps non-compulsory capabilities, together with web integration, interactive voice response and make contact with core capabilities.

    Unified communications gets defined in a lot of techniques, however in keeping with the IEEE, it usually encompasses "unified messaging, collaboration and interplay programs." These systems also typically permit real-time and close precise-time communications. moreover, combined media (voice, email, fax, etc.) will also be accessed from a single utility, independent of the access device.

    competition within the unified communications space is thick with large names. In March of this 12 months, IBM and Cisco, announced a collaborative effort on unified messaging client expertise known as Unified Communications and Collaboration (UC2). UC2 is according to open applied sciences, comparable to Eclipse development ambiance and the Open services Gateway Initiative framework. Citrix techniques and Nokia, amongst others, have expressed aid for the UC2 platform.

    below the IBM-Cisco unified communications partnership, Cisco plans to promote IBM's Lotus Sametime collaboration solution and IBM plans to promote Cisco's Unified Communications manager, Cisco cohesion and Cisco Unified MeetingPlace products. The complete unified communications answer is designed and delivered with the aid of IBM international expertise functions.

    about the writer

    Kurt Mackie is senior information producer for the 1105 enterprise Computing community.

    Microsoft and Nortel present Alliance Roadmap | Real Questions and Pass4sure dumps


    Microsoft and Nortel present Alliance Roadmap
  • through Stuart J. Johnston
  • January 18, 2007
  • Six months after announcing a telecommunications alliance, Microsoft and Nortel this week offered some early effects of their efforts and outlined a roadmap for future projects.

    both agencies first introduced their collaboration ultimate summer season.

    The street map comprises three new joint options “to dramatically enrich company communications with the aid of breaking down the limitations between voice, electronic mail, instant messaging, multimedia conferencing and different styles of verbal exchange,” in accordance with an announcement via the two organizations.

    additionally blanketed in the announcement are eleven new implementation services from Nortel and the hole of greater than 20 joint demonstration facilities the place shoppers can journey the know-how, the commentary endured.

    in addition, the two businesses noted they have got signed agreements with dozens of valued clientele, and have developed a “pipeline of a whole bunch of prospects who are looking to realize the benefits of unified communications.”

    From Microsoft's point of view, it is all part of the enterprise's long-term play to merge all kinds of communications and messaging right into a single framework. A year ago, the business introduced that it become merging its trade Server group with its true-Time Collaboration (RTC) group, and that it had begun to think of both applied sciences comprising a "platform."

    the new neighborhood was named the Unified Communications group (UCG) and resides in Microsoft's business Division. The idea for the new group emanated from a imaginative and prescient of adding continuity to a myriad of communications instruments, applied sciences and modes -- from e mail and rapid messaging to Voice over internet Protocol (VoIP), audio/video and internet conferencing -- in a unified method.

    The three new joint solutions announced by way of the alliance this week are named Unified Communications built-in branch, Unified Messaging, and Conferencing.

    When it's purchasable in the fourth quarter, UC integrated department will incorporate Nortel and Microsoft know-how on a single piece of hardware that promises VoIP and unified communications in remote workplaces.

    Coming a little previous in the second quarter, Unified Messaging will aim to simplify client deployments, native session initiation protocol (SIP) interoperability between the Nortel verbal exchange Server 1000 and Microsoft exchange Server 2007. The answer includes Nortel professional features for design, deployment and assist.

    also coming in the fourth quarter, Conferencing will prolong Nortel Multimedia Conferencing to Microsoft office Communicator 2007. It goals to supply a single client journey constant across functions corresponding to voice, rapid messaging, presence, and audio- and videoconferencing.

    This year, the companies also plan to lengthen their existing unified communications answer — a unified computing device and smooth mobilephone for VoIP, email, instant messaging and presence — to the Nortel conversation Server 2100, a carrier-grade commercial enterprise telephony product supporting up to 200,000 users on a single gadget, in accordance with company statements.

    As for the road map, the two groups have equipped greater than 20 joint demonstration centers in North the us, Europe and Asia, with greater than 100 extra centers scheduled to open via midyear.

    Nortel has additionally introduced 11 core integration features to aid shoppers build, set up and support joint unified communications solutions, including conclusion-to-end mission administration. Nortel claims it has already educated greater than 2,200 VoIP experts to bring these capabilities and will add more as deployment ramps up.

    in regards to the creator

    Stuart J. Johnston has covered know-how, specially Microsoft, on account that February 1988 for InfoWorld, Computerworld, counsel Week, and workstation World, in addition to for business Developer, XML & web capabilities, and .web magazines.

    latest Nortel software unlock offers SMBs New ranges of Simplicity and Unified Communications | Real Questions and Pass4sure dumps

    common software movement provides comprehensive, low-priced, and Scalable solution throughout structures and into branch offices

    TORONTO, ONTARIO--(Marketwire - Nov. 3, 2009) - Small and medium-sized agencies (SMBs) can attain productivity, cost-discount rates and the investment coverage vital to success in ultra-modern enterprise environment with new unified communications-based (UC) utility from Nortel* (OTCBB:NRTLQ). The newest utility unlock 5.0 for Nortel's award-successful enterprise Communications supervisor (BCM) adds new UC capabilities, including unified presence, and improved simplicity with the introduction of a common utility circulate for BCM50 and BCM450.

    The Nortel BCM450 and BCM50 are Linux-based IP/TDM PBXs offering software-prosperous, all-in-one solutions for converged voice and records communications. The BCM50 serves agencies with up to 50 users whereas the bigger capability BCM450 is correct for starting to be medium to colossal organizations and branch workplaces with up to 300 users. each and every helps a mix of IP and digital purchasers and can enable enterprises to save as much as 70 percent of their normal funding by using reusing current equipment.

    As a part of the new BCM Rls 5.0 utility, BCM450 and BCM50 supply SMBs with dynamic UC features like InTouch, which supplies genuine federated presence, and commonplace built-in communications purposes and capabilities. InTouch lets users speak readily with anyone of their own directory – throughout Microsoft Outlook, Nortel BCM, MSN, and Skype for click on-to-name, click-to-IM, and click-to-email. by way of connecting americans sooner, enhancing collaboration and rushing up the time to resolution, Nortel estimates that unified communications can aid agencies know charge-reductions and an increase in productivity of up to 18 p.c.

    ultimate year, the Nashville convention and guests Bureau** (NCVB) leveraged its BCM450 answer to booklet greater than 650,000 hotel rooms whereas marketing tourism on behalf of a variety of partners. NCVB is now trialing BCM Rls 5.0 and plans to roll out the InTouch software in the coming weeks. Kay Hopwood, NCVB's director of information expertise, is longing for seeing true-time presence for all and sundry on the community and having a view into missed calls even when a caller does not go away a voicemail. For now, NCVB is having fun with the primary BCM Rls 5.0 characteristic it deployed, FindMe/FollowMe (FMFM), which allows for simultaneous ringing of up to five additional exterior devices. "each call is expertise business," stated Hopwood. "With BCM's FindMe/FollowMe potential, their revenue group never has to pass over an additional income-generating name once again."

    Minitel**, a premier Nortel associate providing service throughout Canada, also chose to trial BCM Rls 5.0 in its own workplace production gadget. Its Toronto vp of Operations, Dan Silverman, became so completely satisfied with the progress of the in-condominium trial he satisfied a huge accounting firm customer to deploy it as neatly. "The setting up was as smooth as could be and the client is now rolling out both InTouch and FindMe/FollowMe to assorted clients of their firm without difficulty. They had been in a position to get their customer as much as velocity on the interface and rolling the software out via themselves in less than an hour," said Silverman.

    Mexico's Universidad Latinoamericana** (ULA) in a similar way tested the newest BCM application with high-quality results. "we're within the enterprise of training latest youth and getting ready them for the long run and the challenges forward," pointed out Mario Ahumada Sandoval, subdirector of programs, ULA. "To accomplish that, they count number on having the latest in communications expertise that helps us offer a wealthy UC adventure for staff and students. Trialling BCM Rls 5.0, they found that the product's new function set enhances their UC adventure, while maximizing equipment already in region."

    BCM50 client, Philkeram-Johnson**, the oldest ceramic tile producer in Greece, additionally welcomed the brand new utility release. "Our Nortel BCM50 gives us room to grow, in terms of potential and performance, and it offers the elements they deserve to evolve to a unified communications environment," observed Christos Syropoulos, business manager, Philkeram-Johnson. "we are consistently seeking tips on how to enhance their products and their productivity so that you can reply greater without delay to purchasers. i'm eager to discover greater concerning the new elements purchasable in BCM Rls 5.0 and the way they will use them to increase their communications."

    besides the InTouch and FMFM capabilities, BCM Rls 5.0 lets a consumer ahead a voice message using a file in order that it will also be played or study via any mobile equipment in the world. Meet-Me Conferencing for BCM now gives as much as a hundred twenty five ports with help for as many as 300 clients. professional name Recording, a potential customarily offered by way of a 3rd birthday party is also obtainable as part of the newest BCM unlock.

    As a further ability of streamlining charges and operations making it much more basic for SMBs and Nortel channel companions to deploy, provision, and migrate pre-present facts, the brand new BCM50 and BCM450 portfolio contains usual software and applications, O/S, working towards, accreditation, consumer interfaces, and documentation.

    Dell'Oro ranks Nortel's SMB portfolio #1 on earth in variety of hybrid-IP traces shipped and #2 in SMB market earnings for the 2d quarter 2009. Nortel's BCM solutions are localized and bought in over 120 international locations through more than one thousand channels.

    Hear from extra BCM clients and companions:

  • "FindMe/FollowMe and Message Forwarding allow constitution Telecom's** income and technical team of workers to be more accessible to their purchasers, even if in the workplace or on the street. With the ability for particular person clients to customize these features to their liking through an internet-based GUI device Mailbox supervisor. Their equipment administrator no longer has to make day by day adjustments. FMFM and the skill to seamlessly transfer calls between their desk telephones and mobile telephones has also allowed us to reduce their fees, deliver their staff with greater flexibility, and raise their availability to valued clientele." – David Harper, voice systems engineer, constitution Telecom - Canada
  • "Our workplace communications were based exclusively on Nortel's BCM techniques for years. They recently upgraded to the latest BCM know-how, conserving most of their initial investment in hardware and all the funding in software licenses. the new UC performance increases their productivity and saves time. It also allows us to connect to other methods like Communications Server a thousand and Microsoft OCS. With InTouch we're able to manage their on-line contacts at MSN and Skype from a single software interface in MS Outlook, along with their office colleagues, purchasers, and companions." – Nikos Koulioumbis, SMB solutions director, UniNortel SA** - Greece
  • "creative new aspects similar to InTouch with federated presence, FindMe/FollowMe, expert call Recording and more desirable CTI applications are all first-rate productivity enhancers that allows you to save agencies time and cash and this really resonated with the shoppers they talked to at a recent seminar held in Nortel's Maidenhead office. They had enthusiastic comments from attendees including a London-primarily based voice and facts options company who observed he most loved the portion of the seminar that focused on BCM Rls 5.0." – Thomas Jacques, managing director, 1st Communications** - UK
  • "The BCM product has at all times been one that we've been proud to offer to their shoppers due to its converged voice and data answer for small and medium organizations. As a longtime channel partner of Nortel's in Mexico, they seem forward to being in a position to offer these same features, besides newly more desirable ones with the brand new application unlock of BCM Rls 5.0 with new aspects similar to FindMeFollowMe, expert call Recording, and greater CTI applications in order to increase their client's productiveness." – Jorge Alberto Jimenez Hernandez, director of engineering, Innovaciones Telemáticas, S.A. de C.V.** (INTELEMATICA) - Mexico
  • About Nortel

    Nortel offers communications capabilities that make the promise of business Made primary a reality for their consumers. Their next-generation technologies, for both service company and enterprise networks, aid multimedia and company-important applications. Nortel's applied sciences are designed to aid eliminate trendy boundaries to efficiency, velocity and performance through simplifying networks and connecting individuals to the suggestions they want, once they need it. For more tips, discuss with Nortel on the net at For the latest Nortel information, consult with

    certain statements during this press liberate may additionally comprise phrases such as "may", "expects", "may also", "anticipates", "believes", "intends", "estimates", "aims", "envisions", "seeks" and different equivalent language and are considered ahead-looking statements or guidance beneath applicable securities legislations. These statements are in accordance with Nortel's existing expectations, estimates, forecasts and projections concerning the operating atmosphere, economies and markets by which Nortel operates. These statements are subject to vital assumptions, risks and uncertainties, which might be difficult to predict and the specific effect may be materially distinct from those contemplated in forward-looking statements. For additional information with recognize to certain of those and different factors, see Nortel's Annual report on Form10-okay, Quarterly reviews on form 10-Q and different securities filings with the SEC. except in any other case required via applicable securities laws, Nortel disclaims any intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future movements or otherwise.

    *Nortel, the Nortel brand and the Globemark are emblems of Nortel Networks.

    **here's a third celebration hyperlink as described in their internet linking practices.

    Use of the terms "accomplice" and "partnership" does not indicate a prison partnership between Nortel and any other celebration.

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    Blockchain can do more than drive cryptocurrency transactions, according to Dr. Srinivasan Keshav, one of the top researchers at the Waterloo Institute for Sustainable Energy (WISE) – based at the University of Waterloo in Ontario, Canada. This computer science professor sees a new opportunity to enable small-scale energy producers to sell green electricity to the highest bidder.

    Currently, a homeowner with a dozen photovoltaic panels on his or her roof has only one option for selling the electricity which is produced: to the local utility at a price established by government.

    But, as Dr. Keshav points out, lots of companies are keen to prove their eco-credentials by buying renewable energy certificates (RECs) to offset the carbon-intensive electricity they use. Unfortunately, certifying RECs is cumbersome and expensive, putting it beyond the reach of smaller producers.

    Blockchain could change that by offering a cheap and secure way for households and other small-scale producers to certify their electricity production and track transactions.

    The problems are focused on one challenge: bottlenecks. Currently, blockchain can only support a few hundred transactions per second, because before a block of transactions is confirmed, several servers must agree on its contents. When those servers are scattered around the world, delays and communication failures can slow down that process.

    Dr. Keshav and his WISE colleagues have created a solution which they call Canopus. By ensuring that the servers which verify a particular block are near one another, Canopus speeds up communication. The researchers are now creating a prototype Canopus-driven blockchain they anticipate could handle more than a million transactions per second.

    If successful, this new system will open up markets to all green-energy producers, regardless of their size. Furthermore, it will make investing in smaller renewable energy systems a more attractive proposition.

    According to Professor Jatin Nathwani, WISE’s Executive Director, they “will see a dramatic change of role of the customer in the emerging ‘smart’ or ‘intelligent’ power gird. As the customer moves from being a passive consumer to an active participant in the production and consumption of electricity services, the entire framework of financial settlements of electricity flows will require fundamental rethink”. As an active member of the Energy Transformation Network Ontario, Dr. Nathwani thinks that transactive energy and ‘peer-to-peer’ transactions have the potential to make a significant positive contribution to an evolving electricity market.

    WISE has gone further than others in pursuing these innovations WISE established a cluster of research activities to advance the concepts of blockchain in the energy sector. As the role of distributed energy resources changes, they will see increased penetration of  solar on roofs, local wind generation capacity at the community level in remote and distant geographies, electric vehicles begin to assume the role of “quasi” power plants on wheels able to provide ancillary services to the grid with the emergence of  Vehicle-to-Grid (V2G) technologies, Batteries-as-a-Storage Service (BaaS) to homes and distribution grid simultaneously and buildings linked through intelligent sensors able to arbitrage energy services.

    Professor Keshav and his WISE colleagues have developed a prototype blockchain solution called Canopus with capability of handling more than one million transactions per second in support of the Renewable Energy Certificates (REC) trading. The goal is to reduce the cost of certification, eliminate onerous auditing and avoid non-market price controls, so that even a small-scale green generator could de-risk investments. Today’s blockchains cannot support the addition of more than a few hundred certificates or trades (we can call them both “transactions”) per second. This is because blockchain servers require agreement on the contents of each block with endemic server and communication failures and the presence of malicious servers. This is known as the difficult “consensus problem.”

    Currently, BitCoin, the best-known blockchain, supports only about 10 transactions per second. Meanwhile, HyperLedger (IBM’s competing solution) supports under 1,000 transactions per second. Dr. Keshav’s Canopus prototype takes a server’s location on the internet cloud into account, minimizing communication between geographically distant servers.

    By keeping most communications local and fast, blockchain servers can process far more transaction records each second than a traditional consensus protocol that doesn’t take location into account. This improvement in scaling allows even mom-and-pop green generators to obtain certificates and participate in energy transactions. In long term, this work will encourage homeowners and small businesses to invest in renewable energy technologies to become green generators.

    Blockchain applications have the potential to create substantial new value in the energy sector. The blockchain ledger is currently used to reduce transaction costs, pinpoint origins of energy, increase the efficiency of exchanges, and maintain more proficient records. This technology also gives consumers the opportunity of distinguishing where energy is coming from – whether it be renewables-based or traditional fossil fuel-based power generating plants.

    In the past, electric grids used to measure electricity as net amounts and don’t allow consumers to pick and choose. Now, consumers are empowered to choose their preferred energy generation option and switch providers. The new and emerging technologies in play here can help to overcome a process which is currently full of both technical and financial constraints.

    One key goal at work inside WISE is this: to enable to Ontario’s electricity consumers to become 100% green. If Canopus, and related blockchain technologies fulfill their primes, it may well help to accelerate the transition to greener and cleaner systems.

    Enabling Rakuten Cloud Platform with Cisco NFVI and Orchestration Solutions | real questions and Pass4sure dumps

    By this time, many of you might have followed the exciting news of the launch of commercial friendly user trial by Rakuten Mobile Network Inc. (referred as just “Rakuten” in this blog post) – the newest and the 4th mobile network operator in Japan. Rakuten Inc., the parent company, is well known in the industry as a Web and IT giant with a diversified line of businesses such as eCommerce, FinTech, rich media content and social media apps. This makes it worthwhile to note the entry of Rakuten into the telecom space with a very different background, in stark contrast with the established Communications Service Provider industry. The latter has been pursuing a content strategy to adapt to the changing market dynamics and to drive their very necessary digital transformation. The Rakuten press release and the blog post from its Chairman and CEO Hiroshi (Mickey) Mikitani-san, highlights the leadership views on the opportunity with mention of new business models, ecosystems and focus on customer experience as their key priorities.

    On the technical side, while Rakuten will start its journey with LTE-Advanced technology in the radio access, they have adopted a 5G-based systems architecture for their network from day one. Virtualization and cloud native are key tenets of the 5G Systems architecture and are at the center of Rakuten’s technical strategy. They are deploying a network that is fully virtualized from RAN to Core, while leveraging mobile edge computing with end-to-end automation for both network and services. On the Radio Access Network (RAN) evolution front, this is an incredible accomplishment for the team involved and an excellent example, at scale, of what is possible with Open vRAN. Rakuten’s press release emphasizes the pivotal role of their common and distributed telco cloud platform used to host all virtualized applications. Rakuten has coined their “common and distributed telco cloud” as RCP, short for Rakuten Cloud Platform, which first appeared in a seminal LinkedIn post from Tareq Amin, the CTO of Rakuten. Cisco Systems has played a critical role from the very beginning of this exciting journey alongside Rakuten, and they could not be more proud of their partnership and collaboration. Under the hood, the RCP is powered by Cisco’s NFVI and Orchestration technologies. The purpose of this blog post is to share additional details on RCP’s design principles, architecture and technologies involved.

    Let’s illustrate how RCP embraces and realizes the design principles embodied by the terms – telco cloud, common, distributed and end-to-end automation.

    Telco Cloud – Essentially a private cloud in most cases to enable the realization of Network Functions Virtualization (NFV), allowing the deployment of telco applications at large scale as virtualized network functions. Examples of such telco applications for Rakuten include vRAN (vDU & vCU), vMME, vSAEGW, vIMS, vPCRF, vHSS, vDRA, vFW, vCGNAT, vCDN and more, from multiple vendors. The cloud platform requirements of these network functions across many categories are very different from traditional IT applications, thus requiring a platform engineered specifically for this environment.

    From an architectural point of view, the Telco Cloud can be seen largely as a combination of two major building blocks: NFVI (NFV Infrastructure) and MANO (Management and Orchestration). These map very well into the ETSI NFV reference architecture framework.

    Starting with the NFVI hardware, RCP is using standard COTS x86 servers to enable compute and storage capabilities. Intel enables a lot of those capabilities with its Xeon-SP CPU, NIC, SSD-based storage and FPGA for hardware acceleration for the vRAN workloads. Details are covered in this press release from Intel. Cisco Application Centric Infrastructure (ACI) and Nexus 9000 series of switches form the physical network fabric to interconnect all compute & storage assets and connect them back to the rest of the network. With the multi-terabit capacity, automation, service chaining, telemetry and rich policy models, Cisco ACI truly enables a 5G-ready telco data center fabric for RCP.

    Cisco Virtualized Infrastructure Manager (CVIM) is a fully containerized NFVI software solution creating a cloud operating environment that forms the heart of RCP. CVIM leverages Linux/KVM-based infrastructure to enable virtual compute; Ceph for virtual storage; a combination of Open vSwitch, & SR-IOV for fast networking; docker for the management of infrastructure components – with OpenStack and soon a combination of OpenStack & Kubernetes to perform the orchestration of the cloud. Open architecture and leveraging open source technologies is a key principle of CVIM; and for that reason, it embeds Red Hat Enterprise Linux (RHEL) and OpenStack Platform (RHOSP). Almost 5 years back, they took a decision not to build their own OpenStack distribution; and rather focus their engineering efforts on building automation and tooling around OpenStack to make it easier to deploy & operate and make it more secure. That strategy has allowed us to develop numerous valuable capabilities into CVIM including: a fully automated, zero-touch provisioning installer that predictably delivers an operational cloud from the initial bare metal stage in a matter of hours; a rich set of operational tools that they developed and packaged in; extensive security hardening; fully automated & CI/CD-enabled lifecycle management capabilities to deal with ongoing maintenances including in-service updates & upgrades; extensive performance enhancement & tuning including the addition of hard Real-Time capabilities without which a Virtual RAN system would not work; 3rd party product support along with full-fledged system level pre-integration and validation. These unique characteristics bring significant value to any service provider ready to build a first-class telco cloud and made CVIM an obvious choice for RCP.

    The Management and Orchestration (MANO) layer of Rakuten Cloud Platform uses Cisco Network Services Orchestrator (NSO) with the NFVO function pack as the NFV Orchestrator, and Cisco Elastic Services Controller (ESC) as the VNF manager. Cisco NSO is the industry leading orchestrator. It is model driven, has decoupled service & device models with an abstraction layer in between, and offers very strong multi-vendor support for a wide array of physical devices and virtual network functions. While there is a wide variety of interfaces support in NSO both in north and southbound directions, RCP will use the ETSI SOL003 interface for VNF-M integration. Cisco ESC will perform the role of sole Generic VNF Manager (G-VNFM) for all Cisco and most of the 3rd party workloads, providing rich VNF lifecycle management capabilities. Only one partner will use their own VNF-M integrated with NSO via a SOL003 based interface in the initial phase, and then eventually migrate onto ESC to realize the clear vision of Rakuten toward one single VNFM and one single NFVO for RCP.

    The figure 1 below depicts the telco cloud architecture that builds the foundation of Rakuten Cloud Platform –

    Figure 1

    RCP will begin its journey as a private telco cloud by supporting all virtual network functions for Rakuten, later adding support for IT applications and expanding its reach to become a hybrid cloud platform in the future.

    Common – If they dial back around 20 years in the past, Service Providers had multiple networks to support different applications. They were built using different technologies like TDM, SONET/SDH, X.25, ATM, Frame Relay, IP, and SP’s eventually realized that TCO of running multiple networks in parallel wasn’t very economical leading to the trend towards convergence on IP that they all witnessed during the first decade of this century.

    Now, as the various network functions get virtualized, Service Providers in general do not want to repeat the same mistake by building multiple cloud platforms in parallel, where each of them hosts one or a subset of the target applications. The goal of these SP’s is to build a common cloud platform to host all virtual network functions from all vendors involved in their network. This will reduce cost and simplify operations while providing a repurposable infrastructure. Rakuten took a bold step in this direction by deciding from the outset to have a common cloud platform for all their applications. When compatibility issues arise with application providers on RCP, Rakuten facilitates collaboration between the parties to make sure the desired outcome gets achieved.

    Distributed – A very important aspect of RCP. A Service Provider network requires a wide variety of network functions that are deployed in different “places” in the network. These places in the network would include sites such as Central DC, Regional DC, Aggregation or Central Offices, Pre-Aggregation or C-RAN Hubs, and access or Cell Sites.

    If they look at a typical Central DC and/or Regional DCs of a SP, they often see the presence of network functions like the IMS Core, MME, PCRF, HSS and DRA. Packet Core gateways (e.g. SAEGW) for consumer data services are also typically located at those Central and/or Regional DCs. However, with the advent of mobile edge computing and the decomposition of SAEGW (Control and User Plane Separation), it is now possible to deploy the user plane of SAEGW (SAEGW-U) further out in the network at an aggregation or pre-aggregation location, that is closer to the consumers. Moving the user plane out in the network also allows SP’s to colocate them with content and applications in an edge computing environment supporting low latency communications and/or edge offload.

    Moving further down into the network gets us to the Cell Site, where the traditional monolithic eNodeB used to reside. True to its core beliefs and disruptive streak, Rakuten is taking the market by storm as the first to deploy an Open Virtualized RAN leveraging the principles of disaggregation and decomposition of Radio Access Network layers into multiple components. The white paper they co-authored with Rakuten and Altiostar Networks talks about this decomposition in more detail. The result of that decomposition for Rakuten is a cell site, that is very lean with only Remote Radio Heads and Antennas. These cell sites will be connected via dark fiber to their respective pre-aggregation site – also called GC at Rakuten – where the virtualized Distributed Unit (vDU) processing lower layers of the radio stack and virtualized Central Unit (vCU) processing upper layers of the radio stack, will reside.

    This fully virtualized network from RAN to Core, including mobile edge computing translates into a problem statement where various virtualized network functions and/or applications are required to be deployed at different locations in the network. Consequently, all those location types require the presence of the same consistent telco cloud platform, on top of which the virtualized network functions and/or applications can be deployed. In the case of Rakuten, they are pursuing three types of locations:

  • Centralized Data Centers – there will be 2 in the network, and they will host key applications like vSAEGW-C, vMME, vIMS, vPCRF, vHSS, vOSS, vBSS, virtualized Gi services as well as MANO functions etc.
  • Edge Data Centers at Regions/Aggregation locations – there will be somewhere around 50 or slightly less. They will host key applications like SAEGW-U, vFW/NAT, vCDN and will serve as the mobile edge computing hub for Rakuten.
  • Far Edge Data Centers at Pre-Aggregation locations – there will be several thousands of them which will host the vDU and vCU applications to perform baseband/radio processing (virtualized RAN).
  • The figure 2 below helps to summarize the location types, key applications at each location type and an indicative scale.

    Figure 2

    This may sound like a very large footprint for virtualization, and indeed it is. When the entire deployment is finished, there will be multiple thousands of locations, total server counts in 5 digits, over one million virtual CPUs, close to hundred thousand of 25GE ports coming out of all servers, and several 10s of Petabytes of storage even when the majority of the network applications aren’t storage intensive. Rakuten Cloud Platform, as a distributed telco cloud, hence can be seen as a combination of NFVIs of various sizes at thousands of locations across the network; where all of them are tied together to a centralized policy, management and automation framework. Figure 3 below illustrates this –

    Figure 3

    As they have seen before, the key applications at these three different location types vary. The scale requirement for each of these location types aren’t the same either; they vary around how many instances of each application are required, what’s the size of each instance, etc. And finally, all these three location types have different physical constraints – with the Central DC being a proper Data Center facility while the Far Edge is very constrained around space availability, limited power & cooling availability per rack, maximum equipment depth allowed etc. Catering to these requirements require different NFVI POD designs for each location type, where CVIM excels once again with a range of options providing maximum flexibility.

    The Central DC locations of RCP requires 100+ racks with 1000+ servers each – so the NFVI POD design for this location type is optimized for high capacity and scale. All applications in this location uses common server hardware configuration (SKUs) to ensure operational simplicity, easy scale out and infrastructure repurpose-ability. On the storage front, depending on the application’s requirement at the Central DC, the NFVI design also includes multi-backend Ceph storage in the same POD, employing both Hark Disk Drive (HDD) and Solid-State Drives (SSD). This enables the applications requiring high storage Input-Output to leverage the SSD based backend while the others leverage the cheaper HDD based backend to drive a sound balance between cost and performance.

    The Edge DC locations of RCP have much smaller footprint with respect to the number of racks of servers when compared to the Central DC. So, the NFVI POD design at these locations are balanced between footprint optimization, performance and scale. The same design philosophy of common SKUs and storage design applies to this location type as well.

    The Far Edge DC locations of RCP are different in many ways. While its location constraints around space, power, cooling and rack depth have been mentioned before, this location type also has the smallest of the footprint requirements – just a few servers at each location since the target applications are only the vDU and vCU for virtualized RAN. Given there will be thousands of Far Edge DC’s in RCP, driving a major footprint optimization to minimize all overheads associated with operating a functional cloud is an essential requirement to achieve the right cost point. In order to minimize the overhead, there have been many debates and arguments in the industry. Some have presented a deployment model that consists of Centralized Control & Management Plane with only Compute nodes at the remote sites (Far Edge DC in this case), in other words a headless remote site model. For the Far Edge NFVI design for RCP, reliability and predictability were of utmost importance, and they wanted a design that would satisfy these criteria, even when the Far Edge site could be disconnected from the network or struggling to communicate with the rest of the network. Consequently, the headless model was not an option, and they took a different approach to design the Far Edge NFVI POD (One or more of the concepts presented herein are covered by one or more pending patent applications). Three main principles were established in their approach:

  • Removal of Storage Service & backend from the Far Edge NFVI PODs – storage service constitutes a significant overhead in an ultra-small footprint cloud platform in terms of cost, power and ultimately maintenance; hence they removed the storage backend from the Far Edge This principle not only reduced the overhead associated with storage (CPU, memory, disk); but also helped significantly reduce the cost by removing a large volume of disk drives multiplied across thousands of sites, which would have been required if local storage backend for each site was a design goal. The virtual RAN functions (vDU and vCU) leverage ephemeral storage for the runtime in this architecture and do not require shared storage. And for the image management service, to ensure reliability and operational simplicity, they added a Common Storage Cluster just with a few servers in the design that can support thousands of Far Edge NFVI PODs. This common storage cluster is also enabled with automation and comprehensive lifecycle management capabilities.
  • Sharing Control and Compute Function on the first 3 Servers in the POD and limiting the Controller Footprint with strict CPU fencing – for quite some time, CVIM has supported a deployment model that uses the same server for control and compute functions. And they do it while maintaining the same set of capabilities around HA, performance, tooling, security etc.; similar to a full-scale If done poorly, this model brings the risk that workloads and control functions fight over CPU resources, which they address by assigning specific CPUs for control functions. Any Linux system requires some CPU for the operating system (OS) and the hardware. In CVIM, they ensure that the OS is restricted to one core on each socket to ensure that workloads’ cores are not disrupted when the OS has work to do. Since the OS has to run somewhere, so this is the minimum overhead possible. They also put the control functions on those same cores and draw a hard boundary between the cores and the rest of the system, so that neither is affected by the other. Effectively, they run a local control plane on the Far Edge NFVI POD with zero overhead, which in turn allowed us to maximize resources to the vRAN workloads.
  • Eventual Centralization of Management Tools – NFVI PODs today have localized software management tools to drive lifecycle management through software and hardware maintenance. Their plan is to eventually centralize those management functions as a service and eliminate the associated overhead from the Far Edge DC locations.
  • These key design principles ensured that each of the Far Edge DC NFVI PODs were fully autonomous with their own control plane (including their own API end-points), data plane and management plane – all done at a bare minimal footprint that has almost no overhead, yet address their goals around reliability and predictability while achieving a lower cost point. This model bears similarities with the way large scale IP networks have been built over the years, and how the IP Networking for Service Providers has evolved with Software Defined Networking (SDN). Take a look at the figure 4 below that shows an IP Network with routers at different locations. Each of those routers are fully autonomous with its own control plane, data plane and management plane, that ensures predictable and reliable operation. But with centralized management and now with SDN, they have centralized features that augment the IP network with capabilities like service orchestration (e.g. global traffic engineering), global resource management and distributed infrastructure management.

    Figure 4

    Applying the same principles as above gets us to their distributed telco cloud solution that powers up Rakuten Cloud Platform. The figure 5 below illustrates this. They can see that every NFVI at every location is fully autonomous with its own control, data and management plane. And it is augmented with centralized service orchestration, resource management and infrastructure management (fault, performance, logs, operational tools etc.) so that this management framework can scale in a highly distributed environment.

    Figure 5

    One important aspect regarding the Far Edge DC NFVI for RCP is the stringent performance requirement from the vRAN applications – particularly the vDU. The virtualized DU processes the lower layers of the radio stack and deals with digitized RF signals in a virtualized environment, which has very high throughput and extremely low latency requirement (RAN fronthaul). By comparison, think of running a TDM like application in a virtualized environment – that’s the vDU!

    The end-to-end latency requirement from the air interface of the radio all the way to the vDU application is 250 micro-seconds. And that means for the virtualization environment, there are scant tens of microseconds available to move each packet from the NIC all the way into the guest user space where the Layer 1 BBU processes run within the vDU application. This low latency has to be maintained with complete certainty for every packet in a high IO throughput environment, and with no packet loss. To top it all off, everything has to be done with a server running at full load with multiple vDUs that are occupying all of its available CPU resources. This calls for an end-to-end hard Real-Time system, which they have done for CVIM. This is a significant enhancement over the standard Linux and OpenStack/KVM environment that do not guarantee this capability. They have also found that FPGA-based hardware acceleration is a requirement for the virtual DU, since then it is possible to offload certain compute intensive tasks such as error correction at the PHY layer from the general-purpose CPU. By using an FPGA, it is possible to get much higher scale (4X or more), when compared to what is achievable without it. In working with the partners, and consistent with Rakuten requirements for COTS hardware, the presentation of the FPGA is via a PCIe card. Firmware lifecycle support for the FPGA will be a capability delivered by CVIM, so that when RCP evolves to support NR (uses LPDC coding) from LTE (which uses turbo codes), the entire system, including FPGA firmware, can be upgraded automatically and with standard orchestration procedures. Complete CVIM support for open hardware platform and interfaces means there is no lock-in of the software to any of the hardware in the solution.

    End-to-End Automation – managing a virtualized environment is not simple; and when you have to do that for a fully virtualized network that involves a distributed telco cloud platform like RCP spanning across thousands of sites – management at scale will be the #1 challenge that needs to be dealt with proper design, implementation and operational practices. Rakuten, Cisco and other partners involved in the project are all positively obsessed with this dimension of the project to achieve a fully automated network for both Rakuten services and infrastructure. In the previous sections, they highlighted how they are enabling a centralized management framework to manage highly distributed NFVI at scale; the Figure 6 below illustrates how the service automation framework is realized for RCP.

    Figure 6

    The service automation framework is based on the concept of hierarchical management and orchestration, and consists of four domain-level orchestration systems with full HA that manage the Central DCs, WAN, Edge DCs and Far Edge DCs. The domain-level orchestration systems are built with Cisco NSO, Cisco ESC and partner VNF-M. These orchestration systems are glued together in a modular architecture framework with an end-to-end service orchestration enabled by Cisco NSO. The service orchestration module interacts northbound with Rakuten’s OSS and BSS systems, which offer a comprehensive set of service instantiation, service lifecycle management and operational workflows.

    Let’s see an example of how this end-to-end automation architecture performs zero touch instantiation of vRAN to fully operationalize a cell site with no manual intervention. The figure 7 illustrates the Zero Touch Provisioning workflow at a high level, with steps outlined below:

    Step 1 – RIU at Cell site upon booting up sends up notification to the vRAN EMS

    Step 2 – EMS notifies the OSS with RIU ID(s) associated to the Cell Site

    Step 3 – OSS sends notification using API to NSO (E2E) asking it to activate service (new site)

    Step 4 – NSO (E2E) notifies NSO (Far Edge) using API to provision vRAN VNFs

    Step 5 – NSO (Far Edge) calls API to ESC to deploy vDU and vCU at the Far Edge DC

    Step 6 – ESC calls CVIM API at the target Far Edge DC to instantiate vDU and vCU VNFs

    Step 7 – vDU and vCU are now instantiated by CVIM

    Step 8 – Upon completion of instantiation, vCU queries the EMS asking for RAN configuration

    Step 9 – EMS queries OSS to get the RAN configuration and all associated parameters

    Step 10 – OSS sends the RAN configuration to EMS for the new Cell Site

    Step 11 – vCU receives the configuration from the EMS

    Step 12 – vDU receives its configuration from the vCU

    Step 13 – RIU receives its configuration from the vDU

    Step 14 – All sectors are activated, and the Cell Site now becomes operational.

    Figure 7

    This is an example of a highly differentiated capability enabled by the end-to-end automation solution at Rakuten Cloud Platform, performing this activity in a matter of minutes with virtually no human involvement. In contrast, in a typical mobile network the same activity might take hours to days and involve a lot of manual work, increasing the TCO for the operator.

    We hope this blog post has offered a useful perspective on how Cisco Systems and their partners have worked closely with Rakuten in a co-creation mode to turn their vision into the industry’s first fully virtualized mobile network powered by RCP, that is a common and distributed telco cloud with end-to-end automation – enabled by Cisco NFVI and orchestration solutions. If you happen to be at Barcelona at MWC 2019, please come see us at Cisco or Rakuten booth and they will be happy to discuss with you further.


    Using AI Data For Security | real questions and Pass4sure dumps

    Artificial intelligence is migrating from the cloud to IoT edge devices. Now the question is how to apply that same technology to protect data and identify abnormal activity in those devices and the systems connected to them.

    This is a complex problem because AI is being used on multiple fronts in this battle, as well as for multiple purposes. The technology has advanced to the point where energy-efficient neural networks can be built on silicon, and that has raised a number of questions and issues that will need to be resolved. Among them:

  • What are the best approaches to keep data private or secure?
  • What are the best approaches to identifying and reacting to aberrations in data flow or other activity without impeding other potentially safety-critical functions?
  • What are the most efficient ways of adding in AI-based security without impacting overall power or performance?
  • The general consensus through the first half of 2018 was that AI training, as well as most inferencing, would happen primarily on massively parallel server farms. Edge devices would be collectors of raw data, but the vast majority of processing would happen in the cloud, with clean data pushed back down as needed. That perspective changed as the electronics industry began realizing just how much data would have to be moved if the data was not scrubbed, and how expensive and time-consuming that would be. And underlying all of this is concern about privacy rights for some or all of that data.

    A half-year later, a flurry of startups and established companies are developing edge-based AI chips and systems that include everything from novel AI architectures to traditional computer architectures with an AI component. It also has spawned activity at the IP level, which helps explain why Arm launched an AI processor as an IP block.

    The next step is to apply AI for a number of new applications, and that effort is just beginning. More AI at the edge, coupled with more devices being connected to the Internet, has opened the door for more AI-based security.

    “Today, there is no consistent standard across the IoT, making it difficult to protect from the evolving threat landscape,” said Paul Karazuba, senior director of product marketing at Rambus. “Making security the foundation of the OEM’s design process ensures products come to market with consumer safety in mind. One method of achieving this is basing device security on a hardware root of trust. When implemented with a layered security approach, it offers robust protection against a wide range of threats. That allows organizations to secure devices throughout the product lifecycle from device manufacturing all the way to end-of-life decommissioning.”

    A second method is to use AI to provide that security, and there are a number of ways this can be done. “First, is providing security for an IoT service,” said Jeff Miller, senior product marketing manager at Mentor, a Siemens Business. “Second is the actual security services enabled by IoT, including better intrusion detection systems on a network or face recognition systems that run on security cameras—or better authentication systems that use multiple factors to try to authenticate people as they approach the door.”

    Moving sensitive data to the edge can have a positive impact on both security and privacy. “We hear about data breaches, which typically happen in transit or in the cloud where data is stored and aggregated,” said Miller. “So the more processing done at the edge, and the less sensitive information being sent outside the edge device, the more secure the world they live in. Compartmentalizing secure information and keeping it where it was collected, and then throwing away the sensitive parts, is going to be a very important part of both IoT security as well as IoT acceptance in a lot of situations. This is something where machine learning and AI really hold a lot of promise. It’s this detection of things that you can’t put your finger on it, but know something isn’t right here. People do a very good job of that, but so far machines haven’t unless it’s really obvious what is unusual.”

    Machines also potentially can improve authentication and exception detection, including both the security services and the services trying to be secured. But trying to do all of this centrally can be problematic because not all devices are connected all the time, and even when they are connected the speed of data communications can vary greatly.

    “These things need to be autonomous and need to be robust against loss of connectivity,” Miller noted. “Think about cars. You wouldn’t want significant portions of your car’s functionality to shut down when you entered a parking garage or a tunnel and lost signal. Some of these systems truly need to be autonomous or at least capable of periods of autonomous operation. That’s a great argument for edge processing. You need it to deliver the service that you need at the quality of service that your customers expect from it.”

    Yet another reason to do data processing at the edge and do a lot of ML processing at the edge is just sheer bandwidth. If there are 1,000 cameras streaming data, no system today can handle that effectively.

    “Architects of these IoT systems are going to have to have a really solid understanding of machine learning, and that is a challenging concept to get your head around,” he said. “So they will have to think hard about how AI and machine learning change the applications of what can be done. This also opens up new ways to enable services on top of IoT networks that exist or are being planned, because there are more ways to use this data to make actionable insights. ‘We’re collecting all this data, so let’s do something useful with it. Let’s use machines to process that and give insights to humans or, create non-obvious actions from all of that data.’ And that has to be known to the architects of these systems.”

    AI security issuesThere is tremendous potential for this new kind of programming paradigm, and models currently are being developed for neural net architectures.

    “There’s lots of interest in biometrics, whether it is face recognition or advanced fingerprint recognition, voice biometrics, among others,” said Mike Borza, member of the technical staff for Synopsys security IP. “There are also all kinds of other applications that are really interesting, such as the obvious crossover into the automotive markets because of all the image processing that needs to be done in autonomous vehicle driving. There is lots of other signal processing, as well as the need to do that at very high levels of confidence. As people are busy getting systems up and running, they are starting to recognize some of the challenges that remain to be solved.”

    One of these is that the performance of a neural network is extremely dependent on the quality of the data used for training the system. “That means the integrity of all of the data sets around there is crucial,” Borza said. “What people have found is that if you make small changes to bias the training data, or changes to the input data that bias, the network can respond with large-scale disturbances to its behavior. This fact makes the case about being concerned with the integrity of that data, and the easiest and most error-free way to deal with that is to use cryptographic authentication of that kind of data.”

    But AI has its own potential security holes. Borza said that some teams have been so focused on solving other problems that they haven’t paid much attention to security. “A lot of them haven’t thought about how somebody might use that fragility to attack their product or the users of their product and how it could be viewed. Some of those teams have only just started to think about it. We’ve been dealing with some teams now that are on their second generation of products. Their customers are saying that they like the functional performance and behavior of the product, but they now need to have some assurance that it’s actually behaving properly and using the data that it’s supposed to be using, and that that data is intact.”

    As a result, these companies are coming to realize on their own, or are being told by their customers, that security is now essential. That includes both software, and in the case of embedded systems, embedded hardware. Novel solutions for in-circuit monitoring from companies such as UltraSoC and Moortec speak to the different types of embedded analytics technologies coming to market.

    “When you get into the datapath of these products, the performance levels demand hardware security features in order to be able to do the processing in a timely fashion, so we’re seeing things like inline memory encryption becoming more interesting,” Borza said. “In some cases, people want cryptographic authentication on that encrypted memory to make sure that the encrypted data isn’t being manipulated. Also, the model itself is stored and encrypted in authenticated form, then signed with a public key, which needs to be decrypted and placed securely into the neural net processor. The authenticity of that needs to be checked because you don’t want to be loading a model that has been manipulated by somebody else. With these types of things, approaches used in other secure processing systems are starting to show up in the chips that are implementing neural nets.”

    Further, providers of semiconductor IP are still struggling with detecting security vulnerabilities in ‘traditional’ hardware, pointed out Sergio Marchese, technical marketing manager at OneSpin Solutions. “For example, rowhammer attacks are well understood, and there are several defensive techniques, including memory protection with error correcting code (ECC) modules. A couple of months back, I read an article about how some academics found a way to get around ECC and inject three consecutive bit-flips into memory.When it comes to AI and hardware for CNNs and ML algorithms, they are just beginning to understand vulnerabilities. Researches demonstrated black-box and white-box, where detail on the internal structure of the CNN are known, strategies to insert errors, invisible to the human eye, in very specific places in an image that results in completely wrong classification.”

    Formal verification is likely to have a strong role to ensure that ML algorithms behave within some boundaries, and this is the only way to ensure that certain things cannot happen, no matter what, and that is crucial for safety-critical applications like autonomous vehicles, he stressed. “Overall, security verification and certification of AI systems is even further away. Simulation or emulation approaches are inadequate even for traditional verification, never mind for AI systems. At least for safety-critical system, I see at present no alternative to explainable AI. Engineers need models on which to apply formal proofs and generate evidence of correctness and robustness that supports compliance and certification processes.”

    An important consideration right now, especially with everything so fluid and with advances being made very quickly, is that people will have to continue to update models for the foreseeable future.

    “We’re going to see some evolution in those products and the architectures, but you’re not likely to see dedicated networks that are just one type of network,” Borza said. “You’re unlikely to see a dedicated residential model or something like that. There are network chips capable of being reconfigured to implement that network architecture, and then the models that are derived on that network architecture or the representation of the algorithms is being distributed to the field to devices that are actually installed. They anticipate people will update those models, especially in fast-moving areas or things that are going to improve as more data is collected, and then those updates will be distributed. But that update needs to be protected in terms of its confidentiality, and especially in terms of its integrity. You want the new model that’s distributed to be the exact one that you’ve calculated and that you sent to the field.”

    The edge and beyondThe edge has emerged as a particular security concern because some of these devices can kill you.

    “It’s cars and robots and medical devices,” said Kurt Shuler, vice president of marketing at Arteris IP. “These things can kill you two ways. A cosmic ray can cause a bit to flip, and things go awry. The other way is that the AI may work as intended, but what it decides to do from its neural net application is the wrong thing. In that case, the safety of the intended function is bad.”

    There’s even a new spec just for this: “ISO/PAS 21448:2019 Road vehicles — Safety of the intended functionality.” That captures how to analyze these AI powered systems going into cars, so they works as designed.

    Security can impact all of these systems. “There’s a totally separate set of specs, and a totally separate set of Ph.D. geeks working on safety and on security,” said Shuler. “What’s disconcerting is that the effects of any of these things, especially from a functional safety standpoint and a security standpoint, can be the same. Whether a bit flips or an engineer flipped a bit, someone can get hurt. Yet these sets of experts don’t really talk to each other too much. This was addressed in the new ISO 26262 2018 specification that came out in December, which includes specific text to address this. It basically says you must coordinate with security guys, but unless security is somehow mandated to a certain level — like functional safety is in cars and trains and other verticals — nobody really cares. It’s like insurance. Nobody wants to pay for too much security.”

    Additionally, the more security that’s added to a system, the greater the potential performance hit and the more complicated the development task. And at least at this point, liability for poor security is limited, Shuler noted. “What is my responsibility if somebody hacks into this thing? Will I actually get in trouble for it or get sued? Is my company going to be shut down? Am I going to go to jail?’ The answer to most of those is no.”

    This is yet another argument for keeping data local.

    “When it comes to security, the reason why they have AI is because they have so much data available and it’s sitting somewhere,” Shuler said. “As they put more systems in the field, like vision systems, they’re not only acting based on a model that they have and saying, ‘That’s a stop sign,’ or, ‘That’s a little kid crossing the street.’ They’re also taking in new information that they don’t recognize and firing it up to the data center. Then, the data center is taking all of that information and drawing new inferences. That data store becomes a huge target for security. It’s a huge target because you’ve got your fingers on that. You can steal all the credit card numbers in the world. You can influence elections. You can mess with the financial system. You can delete everybody’s medical records or look at everybody’s medical records. It provides such a wonderful meaty target if it’s not protected well, and it has been demonstrated that IT guys at insurance companies and Facebook and credit card companies are not good at protecting that data.”

    ConclusionAI, machine learning and deep learning are not new concepts, but they are being applied in new ways, including keeping the very data that makes AI possible in the first place. But this is all still in the early stages of development. The entire AI ecosystem must come together to devise cohesive solutions for true data security, and that stretches well beyond the individual devices that contain the data.

    Related StoriesBuilding Security Into RISC-V SystemsEmphasis shifting to firmware, system-level architectures, and collaboration between industry, academia and government.Finding Security Holes In HardwareEmphasis on performance, backward compatibility and system complexity are creating vulnerabilities that are difficult to fix.Tech Talk: HW SecurityHow to minimize the risk of hardware attacks in the shadow of Meltdown and Spectre.IoT Device Security Makes Slow ProgressWhile attention is being paid to security in IoT devices, still more must be done.Are Devices Getting More Secure?Manufacturers are paying more attention to security, but it’s not clear whether that’s enough.Why The IIoT Is Not SecureDon’t blame the technology. This is a people problem.

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