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642-887 Implementing Cisco Service Provider Next(R) Generation Core Network Services

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642-887 exam Dumps Source : Implementing Cisco Service Provider Next(R) Generation Core Network Services

Test Code : 642-887
Test name : Implementing Cisco Service Provider Next(R) Generation Core Network Services
Vendor name : Cisco
brain dumps : 130 existent Questions

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Cisco Implementing Cisco Service Provider

digital verisimilitude golf brings Trace3 into greenfield chore | killexams.com existent Questions and Pass4sure dumps

pressure Shack Inc., a digital fact golf business, puts a recent twist on a greenfield deployment.

starting from scratch, the enterprise sought an IT infrastructure capable of supporting a 60,000-rectangular-foot facility in Orlando, Fla. The complicated needed every thing from gaming systems to servers and protection. The theory is to let golfers basically play lessons from worldwide.

Ravi Nekkalapu, CIO and head of IT at power Shack, reached out to Trace3 Inc., an IT options provider based in Irvine, Calif. Nekkalapu had a outdated relationship with trail three when he was senior director, enterprise structure and cloud method, at Wyndham worldwide. in the recent arrangement, hint 3 become tasked with devising the know-how underpinning pressure Shack’s flagship facility.

“Trace3’s strategy became to assessment the customer’s universal dreams, designs, and requirements for this recent challenge,” celebrated Tim Benner, vp of architecture and strategy at Trace3.

Cisco’s role in virtual fact golf

on account of Trace3’s expertise review and proof of conception initiatives, Cisco and the seller’s StadiumVision (now Cisco imaginative and prescient for activities and entertainment) turned into deemed the most efficient fit. Cisco vision for sports and leisure centrally manages the distribution of video and digital content material to high-definition or ultra-high-definition displays installed total the artery through a given venue.

Benner stated the Cisco providing provided “the better of breed and bleeding-edge capabilities on the infrastructure stage they possess been looking for.”

Cisco-offered infrastructure includes Unified Computing device servers for client compute, video servers and hardware, leavening switches, Cisco routers, Meraki MX and Cisco Firepower risk protection security home equipment, and wireless expertise from Meraki.

Having a single supplier accountable for those infrastructure points provided a simplified “one-throat-to-choke” assist mechanism, Benner pointed out.

different infrastructure features

Cisco, although, contributed one in every of many items of the force Shack know-how ecosystem. other infrastructure components encompass golf ball dispensers, Android capsules, protection cameras and methods, cameras that song ball and player movements, and StorMagic’s digital storage-area network products.

application for offering customer compute, Benner stated, is in response to VMware for virtualization and Microsoft windows Server and windows 10 for offering the gaming platform as well as infrastructure capabilities for administration and authorization of the gaming structures.

As for deployment, Cisco offered in-depth implementation of its StadiumVision infrastructure platform, while Trace3 implemented the different infrastructure accessories for digital fact golf.

Benner stated the key to this undertaking — and realizing the pressure Shack vision — become the “idea of team ownership of every equipment, from infrastructure to gaming platforms and building.”

subsequent steps

With its infrastructure in region, pressure Shack’s Orlando facility opened in April 2018. different force Shack digital verisimilitude golf centers are on the horizon. Trace3 is working on the subsequent facilities scheduled to launch, together with facilities in Raleigh, N.C., Richmond, Va. and West Palm seashore, Fla.

To champion the present and planned pressure Shack golf complexes, Trace3 manages a expertise-testing lab in White Plains, N.Y. Benner said plans are within the works to open a larger lab, in a position to mimicking “the whole stage and platform” of a pressure Shack facility.


Tufin Rolls Out MSSP application, Managed provider offer | killexams.com existent Questions and Pass4sure dumps

network security company Tufin on Tuesday launched its Managed protection provider provider (MSSP) software and Tufin-as-a-carrier present. The company offers a network security policy orchestration solution that manages the safety guidelines round providers’ firewalls. 

After having the program in stealth mode with both significant and small MSSPs in quite a lot of global locations for approximately seven months, Tufin now presents its solutino in an MSSP-pleasant, consumption-based mannequin.  

Tufin's Mike Menegay

Tufin’s Mike Menegay

“average companies possess tried to force models on MSSPs that aren’t consumption-based, that means they possess companions buy licenses and allow them to offer them anyway they desire,” Mike Menegay, vp of world channels, advised us. “the manner they constructed their program is that they went out and spent a year discovering MSSPs to withhold in irony their challenges – technical, earnings and monetary – and got here up with an entire commerce design written around these challenges and the artery sequel they no longer live a Part of those challenges.” 

The enterprise’s MSSP application gives companions with: 

  • A consumption-based, pay-per-use model that presents the Tufin carrier with slight to no upfront cost, while aligning monthly consumption expenses to capabilities earnings intake.
  • Native multitenancy within the Tufin Orchestration Suite for MSSPs with required separation of tenants, information, analysis and reporting.
  • White-label risk and compliance reporting, which allows for MSSPs to promote Tufin’s firewall possibility and compliance reports with their logo and manufacturer displayed.
  • handy license administration with the skill to add, score rid of or alternate licenses.
  • finished MSSP dashboard that offers a granular view of customer usage and fees to live certain cost-efficiency.
  • premium-stage champion 24/7 and free online working towards through the Tufin Academy. 
  • “We’re going to give you, as a companion, a bunch of licenses out of the chute. We’re going to coach you, we’re going to combine you on the platform and provides you total visibility 24/7 of each gadget that you’re managing, each client you’re managing and every piece of billing,” pointed out Menegay. 

    With the licenses in hand, partners can convey on customers. Tufin records every firewall and router that’s being managed on a every day basis and calculates an everyday charge. at the halt of 30 days, the charges are totaled and Tufin bills the MSSP electronically. 

    involved partners requisite to fade throughout the on-line Tufin technical and MSSP certification, then labor with Tufin on their serve capabilities.

    The company says merits of being a Tufin MSSP and Tufin-as-a-provider issuer are handle and visibility; automation; more advantageous compliance and audit readiness; can pervade heed downs with confirmed ROI; and augment probability.

    “where Tufin excels is within the orchestration and automation of the cleanup of the safety and firewalls and being capable of build alterations in minutes versus weeks,” pointed out Menegay. “From the expertise viewpoint, companions score to station in force the know-how these days and that they can grow into the automation house providing them a multiyear chance.” 

    while tremendous organisations possess the in-residence technical components for orchestration and automation, SMBs and midmarket corporations sequel not, which is the station MSSPs can step in. As consultants, MSSPs can expose valued clientele where they possess got protection holes and then spin it right into a billable service. If companions present this as a lead carrier these days, Menegay says they can up their video game with the Tufin-as-a-carrier present. 

    Tufin’s product works throughout multiple dealer firewalls, corresponding to Cisco, Fortinet, F5, Palo Alto and examine aspect.

    In June, Tufin debuted its advanced carrier birth accomplice software for Tufin-licensed specialists on the dealer’s orchestration suite. carrier-beginning partners act as a digital bench for Tufin.


    Wi-sun Launches FAN Certification program For massive out of doors IoT Networks | killexams.com existent Questions and Pass4sure dumps

    The Wi-solar Alliance, a world ecosystem of member businesses seeking to accelerate the implementation of open requirements-primarily based sphere enviornment Networks (FAN) and the information superhighway of issues (IoT), recently introduced its FAN Certification application. FAN is a communications infrastructure for extremely giant-scale networks that works with the aid of letting instruments interconnect onto one generic community.

    the availability of the FAN Certification program is the sequel of the collaboration of a number of Wi-solar Member organizations. during the certification application, the Wi-sun Alliance certifies items in line with their compliance to a communications profile derived from apposite open standards and their capability to interoperate with different Wi-sun licensed items.

    The FAN Certification program will certify devices for expend via utilities, city builders and other service providers to simplify and lead enormous-scale, outdoor networks for smart cities, sensible utilities and other IoT rollouts – and to assist in the reduction of fees and delays. Wi-sun contributors design to publish licensed items in this drop 2018.

    Wi-solar says that it believes proprietary methods no longer to live sufficiently bendy, or as reasonable as options in accordance with open requisites, and that they'll spin into much less primary inside a number of years. Adhering to the Wi-sun FAN profile according to open IEEE and IETF requirements permits service suppliers, sensible cities and utilities to deploy adaptable multi-service networks and should aid live unavoidable interoperability, now not only these days, however additionally for many years to approach back.

    “Wi-solar continues to live at the forefront of IoT innovation, and as cities, utilities and the commerce grows their IoT networks, they're increasingly recognizing that industry-wide open standards are essential for interoperability and scalability,” spoke of Phil Beecher, President and CEO, Wi-sun Alliance. “FAN Certification is an endorsement for governments and the commerce that their individuals' products are compliant to these open necessities, and safeguards nice, interoperability, safety, scalability – and in the halt offers shoppers a competitive knowledge.”

    All Wi-sun licensed products are verified by using an authorized Wi-sun appointed third-birthday party contemplate at various lab to live certain the instruments labor collectively quite simply and securely for swift time to market. certified contraptions encompass a digital certificate to authenticate entry to a Wi-sun FAN community, vastly decreasing vulnerability to cyber protection threats. beneath a divide settlement, Wi-sun has selected GlobalSign to give certificates Authority (CA) capabilities to Wi-sun Alliance member organizations.

    “We proceed to contemplate Wi-sun technology as an incredible enabler for colossal-scale IoT purposes total the artery through Hawaii with the provision of its FAN Certification software,” talked about Colton Ching, SVP, Planning & know-how, Hawaiian electric powered. “The Wi-solar Alliance and its members possess taken an gigantic step ahead in bringing multi-dealer, interoperable options to fruition.”

    the following are among one of the groups who had been actively main the artery to certification: Analog contraptions, Cisco, EPRI, Itron, Kyoto college/Nissin systems, Landis+Gyr, ProCubed, Renesas and ROHM Europe.

    Ken Briodagh is a author and editor with more than a decade of journey under his belt. he is in fancy with technology and if he had his druthers would beta contemplate at various every thing from shoe phones to flying automobiles.

    Edited through Ken Briodagh


    642-887 Implementing Cisco Service Provider Next(R) Generation Core Network Services

    Study lead Prepared by Killexams.com Cisco Dumps Experts


    Killexams.com 642-887 Dumps and existent Questions

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    642-887 exam Dumps Source : Implementing Cisco Service Provider Next(R) Generation Core Network Services

    Test Code : 642-887
    Test name : Implementing Cisco Service Provider Next(R) Generation Core Network Services
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    Edge computing: The situation of the next IT transformation | killexams.com existent questions and Pass4sure dumps

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

    In recent years, computing workloads possess 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 hiss that on-premises or cloud centres are deceased -- some data will always requisite to live stored and processed in centralised locations. But digital infrastructures are certainly changing. According to Gartner, for example, 80 percent of enterprises will possess shut down their traditional data centre by 2025, versus 10 percent in 2018. Workload placement, which is driven by a variety of commerce needs, is the key driver of this infrastructure evolution, says the analyst firm:

    With the recent augment 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 also been an increased focus on customer suffer with outward-facing applications, and on the direct repercussion of poor customer suffer 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 generic Data Protection Regulation [GDPR] or regulatory restrictions).

    There are challenges involved in edge computing, of course -- notably centering around connectivity, which can live 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 specimen -- 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 unfounded 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 recent 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 anatomize 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 live viewed as a de facto component of Fog Computing.

    State of the Edge 2018The delivery of computing capabilities to the analytic extremes of a network in order to better the performance, operating cost and reliability of applications and services. By shortening the distance between devices and the cloud resources that serve them, and also reducing network hops, edge computing mitigates the latency and bandwidth constraints of today's Internet, ushering in recent classes of applications. In practical terms, this means distributing recent 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 nigh proximity to the final 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 rig and 'smart' medical devices) that possess 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 possess 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 nigh as viable 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 live sent from the edge of the network to a central processing system, then back to the edge...Fog computing, a term created by Cisco, also refers to extending computing to the edge of the network. Cisco introduced its fog computing in January 2014 as a artery 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 live 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 augment in the number of 'intelligent' applications, and growing load on cloud infrastructure:

    Edge computing market dynamics

    Drivers
  • Growing load on cloud infrastructure
  • Wide achieve 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 upright segments considered by MarketsandMarkets, Telecom and IT is expected to possess the biggest market share during the 2017-2022 forecast period. That's because enterprises faced with high network load and increasing demand for bandwidth will requisite 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 term is likely to live retail, says MarketsandMarkets: high volumes of data generated by IoT sensors, cameras and beacons that feed into smart applications will live 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 live worth $3.24 billion by 2025, although that's soundless 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 upright segment with the highest CAGR will live 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 stately View Research, thanks to the aptitude of edge computing solutions to reduce operating costs.

    The most optimistic growth rate comes from 451 Research, in an October 2017 study -- Size and repercussion of Fog Computing Market -- commissioned by the OpenFog Consortium. This wide-ranging research puts the market occasion 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 live 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 relish 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 marvel 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 build it lucid 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 note flat growth between 2017 and 2023, IoT devices are taking off: those with wide-area connections will survey 30 percent CAGR, with short-range IoT devices showing significant but slower growth (17% CAGR). This results in an almost 80 percent (79.4%) augment 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 live 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 recent 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 champion intelligence at the edge of IoT, including autonomous and self-aware machines, things, devices, and smart objects. OpenFog members will also identify and develop recent operational models. Ultimately, their labor will serve 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: pile 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 apposite 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, generic 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 discover their position on edge computing -- adoption and deployment, investment intent, and more. total 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 total (93.3%) intended to invest in edge computing in the next 12 months:

    futuruminvestmentoutlookchart.png

    futuruminvestmentoutlookchart.png

    Data: Futurum Research / Chart: ZDNet

    Futurum also curates a generic Digital Transformation Index, which in 2018 station 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 smarting topic for tech-savvy businesses. However, Futurum also celebrated 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 importance of edge computing data streams in their commerce 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 solid interpreted these priorities as a reflection of the requisite for operational efficiency, suggesting that the relatively low ranking for IoT strategy -- often quoted as a canonical edge computing expend case -- "will likely augment in the coming years".

    Only 15.6 percent of Futurum's respondents aimed to withhold edge computing and cloud computing divide -- a determination often driven by data and system security concerns, and a focus on compartmentalised operations, the research solid 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 withhold 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 occasion 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 locality (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 live the top industry segments adopting fog computing, followed by energy, healthcare and smart homes.

    Key vendors

    Edge/fog computing can tow workloads away from cloud data centres, so it's no amaze to survey 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 right from the AWS Management Console, and the device executes the code locally so that devices can respond to events and pick actions in near real-time. AWS Greengrass also 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 possess devices depend on the cloud when it makes sense, accomplish tasks on their own when it makes sense, and talk to each other when it makes sense -- total 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 dash on devices that achieve 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 live containerised and dash 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 dash 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 proper together:

    azure-iot-edge.png

    azure-iot-edge.png

    Images: Microsoft

    With generic availability, Microsoft added recent 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 dash 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 happen 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 mingle 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 benefit from the timely analysis of IoT data streams -- and that's pretty much total of them -- will live interested in edge/fog computing. That's why there are huge opportunities for vendors at total 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 well-known than they are today. Let's hope those issues are addressed sooner rather than later.

    RECENT AND RELATED CONTENT

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

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


    Radisys and China Unicom Collaborate on Mobile CORD (M-CORD) Implementation for 5G Services | killexams.com existent questions and Pass4sure dumps

    HILLSBORO, Ore.--(BUSINESS WIRE)--To maximize 5G mobile service opportunities across China Unicom’s network, services acceleration company Radisys® Corporation (NASDAQ:RSYS) and China Unicom, one of the world’s largest mobile service providers, are partnering to build and integrate Mobile CORD (M-CORD) progress PODs that expend open source software. M-CORD, built on top of ONOS and the CORD (Central Office Re-architected as a Datacenter) open source project, combines data center economics and the agility of the cloud with the benefits of a virtualized and disaggregated mobile core, as well as access infrastructure and mobile edge computing for innovation and deployment of 5G services. The companies will labor together to develop deployment scenarios for this solution in China Unicom’s network.

    “As China Unicom evolves its network from 4G to 5G, it requires a fully virtualized and disaggregated infrastructure to better serve its residential, enterprise and mobile customers,” said Joseph Sulistyo, senior director of open networking solutions, Radisys. “We’re confident that together they can build and integrate an M-CORD POD to facilitate a robust 5G mobility infrastructure, thereby enabling China Unicom to rapidly deploy recent 5G services on its network.”

    As a CORD systems integrator, Radisys will leverage CORD’s open reference implementation to bring China Unicom’s network cloud agility and improved economics. M-CORD is an emerging platform for 5G services with three key components: mobile edge services, virtualized Radio Access Network (RAN), and virtualized Evolved Packet Core (EPC). M-CORD makes mobility more cost-efficient, more software-programmable and more cloud-elastic.

    “China Unicom is collaborating with Radisys to collectively develop technology enablers and expend cases for 5G services,” said Dr. Tang Xiongyan, CTO, Network Technology Research Institute, China Unicom. “Radisys will also provide us with its recommended deployment scenarios and feasibility analysis as well as an effective prototype demonstration of the solution in their mobile network. We’re encouraged that its efforts will yield much results for their subscribers.”

    Additionally, Radisys and China Unicom will develop together an open reference implementation of a virtualized RAN (vRAN) and an open reference implementation of next-generation mobile core architecture with observability and analytics. The companies will also explore opportunities for projects surrounding mobile edge computing (MEC), virtualization technology for connected cars and service progress and demonstration, and connectionless architecture.

    See the M-CORD Demonstration at Mobile World Congress

    Radisys and ON.Lab will demonstrate M-CORD expend cases running on commodity hardware and on DCEngine™ at Mobile World Congress, February 27-March 2 in its Booth 5I61 in Hall 5. To survey the demonstration and meet with Radisys’ CORD and open source experts, contact info@radisys.com.

    About CORD Project

    CORD™ (Central Office Re-architected as a Datacenter) brings datacenter economics and cloud flexibility to the telco Central Office and to the entire access network. CORD is an open source service delivery platform that combines SDN, NFV, and elastic cloud services to network operators and service providers. It integrates ONOS, OpenStack, Docker, and XOS—all running on merchant silicon, white-box switches, commodity servers, and disaggregated access devices. The CORD reference implementation serves as a platform for multiple domains of use, with open source communities pile innovative services for residential, mobile, and enterprise network customers. The CORD ecosystem comprises ON.Lab and organizations that are funding and contributing to the CORD initiative. These organizations embrace AT&T, China Unicom, Google, NTT Communications Corp., SK Telecom Co. Ltd., Verizon, Ciena Corporation, Cisco Systems, Inc., Fujitsu Ltd., Intel Corporation, NEC Corporation, Nokia, Radisys, and Samsung Electronics Co. survey the replete list of members, including CORD’s collaborators, and learn how you can score involved with CORD at www.opencord.org.

    CORD is an independently funded software project hosted by The Linux Foundation, the nonprofit advancing professional open source management for mass collaboration to fuel innovation across industries and ecosystems.

    About China Unicom

    China Unicom was officially established on 15 October 2008, and is committed to forging itself into a world-leading innovative ICT service provider. As of 2015, China Unicom is ranked 207 among the Fortune Global 500. As a leading operator providing both fixed-line and mobile services in China, the subscriber number of fixed service and mobile service is more than 300 million, and its service covers 31 provincial branches and 7 overseas operations. It has about 400,000 employees. For more information about China Unicom, delight visit http://chinaunicom.com.cn/.

    About Radisys

    Radisys helps communications and content providers, and their strategic partners, create recent revenue streams and drive cost out of their services delivery infrastructure. Radisys’ hyperscale software defined infrastructure, service vigilant traffic distribution platforms, real-time media processing engines and wireless access technologies enable its customers to maximize, virtualize and monetize their networks. For more information about Radisys delight visit www.radisys.com.

    Radisys® is a registered trademark of Radisys. total other trademarks are the property of their respective owners.


    Cisco Systems' CEO Discusses Q3 2011 Results - Earnings muster Transcript | killexams.com existent questions and Pass4sure dumps

    No result found, try recent keyword!Our more than $5 billion R&D budget will live focused on accelerating their leadership in their core products and next-generation ... the implementation here, I fancy anything that loads networks. Now their se...


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    NCLEX [2 Certification Exam(s) ]
    Network-General [12 Certification Exam(s) ]
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    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
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    Zend [6 Certification Exam(s) ]





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