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642-995 exam Dumps Source : Unified Computing Troubleshoot
Test Code : 642-995
Test Name : Unified Computing Troubleshoot
Vendor Name : Cisco
Q&A : 100 Real Questions
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Cisco Unified Computing Troubleshoot
What comes to intellect when you suppose concerning the colour blue? every time I suppose in regards to the colour blue in nature, I’m transported to the clear blue skies and turquoise ocean waves of Hawaii. for a lot of americans, the color blue has a restorative pleasant: It’s invigorating and puts us lower back in manage of priorities. My affinity for “all things blue,” is why I turned into interested in this story about Cisco consumer, BlueWave Computing, LLC., a cloud features company based in Atlanta, Georgia. BlueWave’s current server and storage infrastructure had reached its limits and become developing efficiency and reliability considerations. That’s when BlueWave decided it become time for a metamorphosis. They labored with Cisco to reinvigorate their records core, making it capable for next era of cloud features, and clearing the style for “nothing but blue skies forward.”
by means of Carol Shottes, united statesadvertising and marketing manager, Cisco
BlueWave Computing chooses Cisco’s Unified Computing device (UCS)™ FlexPod answer for its velocity, reliability and ease of management.
BlueWave’s challenge become to deliver a new, excessive-performance cloud carrier whereas protecting infrastructure and administration fees low. BlueWave had experienced swift increase within the variety of its cloud services valued clientele. As BlueWave’s cloud workload expanded and the business brought new services to market, its IT crew discovered itself at the restrict of what the enterprise’s latest server and storage infrastructure might offer. BlueWave begun experiencing issues with storage, performance, and reliability. And as BlueWave groups labored to address the concerns, they became annoyed by the lack of integrated support offered with the aid of the previous vendor. in consequence, the crew started looking for a new basis for its virtual cloud offering, and sought out a unified data middle answer helping the business’s next section of increase.
“Cisco usais optimized to run in a virtualized environment, and it has a clear advantage over competing solutions when it comes to velocity, reliability, and ease of administration,” says Dan Timko, VP of Cloud capabilities, BlueWave Computing, LLC “The excessive-density Cisco americainfrastructure additionally offered the potential to scale up our systems greater sustainably and profitably.”
Cisco’s FlexPod solution and BlueWave’s outcomes – 3 times (3X) the Storage performance and Half the LatencyBlueWave deployed FlexPod in its fundamental information center in Atlanta, and is developed on Cisco(R) united statesB230 M2 Blade Servers, a two-socket platform that promises high efficiency and density in a compact, half-width form ingredient and contains NetApp FAS storage. Its all-Cisco community infrastructure includes Cisco Nexus 5548 switch because the core switch for VLAN management and routing and the Cisco usa6248UP 48-Port cloth Interconnect to deliver uniform access to each networks and storage. BlueWave is also using Cisco ASA 5500 sequence Adaptive protection home equipment (ASAs) for its part firewalls, Cisco Catalyst® 3750 Switches for its entry layer, and Cisco Catalyst 2960 Switches. final but not least, BlueWave is using Cisco united states of americamanager for easier account administration, authentications to LDAP, and position-based mostly access to systems.
BlueWave additionally appreciates the incremental scalability of UCS, which makes it much less expensive for the enterprise to add extra skill since it does not need to purchase a big, expensive chassis, with switches and fiber, every time it needs to scale up. “Scaling turns into cheaper and more straightforward from a labor standpoint, as a result of all we should do in the Cisco americamannequin is plug in a new blade, then apply the carrier profile with americamanager,” says Timko. BlueWave can now onboard clients and increase capacity more unexpectedly and cheaply. FlexPod cuts time to provision new features in half as a result of Cisco americaadministration application reduces the time to deploy server templates.
Boosting productiveness whereas saving Time, cash and EnergyIn addition to saving time and staffing components, BlueWave is additionally reducing one of its greatest costs: energy and cooling. “one of the most merits of the density of the FlexPod platform is that we will run more VMs on a long way fewer blades,” says Timko. “we can quite simply double the RAM in the equipment devoid of doubling the energy usage, which makes a big contribution to our base line.”
To examine the whole story, BlueWave Builds bigger more desirable Cloud
Are you a game Changer? find a stronger facts core with Cisco UCSAre you a usaconsumer who would like to share your story here? I’ll be highlighting use circumstances and consumer studies over this subsequent 12 months. What’s been your experience with u.s.and Cisco information center options? Please be a part of the dialog.
>> attracted to reading united states of americaclient success reviews to your location? study greater at statistics core Case reviews>> sure, Cisco united states of americaservers are truly that decent, read invoice guard’s blog
>> To find out extra about Cisco Unified records core options, go to: www.cisco.com/go/dc
and Cisco Unified Computing techniques at www.cisco.com/go/america04a7d3d609129a9296bf7ac0608c2097)
>> To discover more about BlueWave, go to: http://www.bluewave-computing.com
Cisco systems Inc. is an mentioned global chief and renown goliath within the computer networking company. So or not it's not tough to think about the anxiousness coming from the boardrooms of facts core server carriers after Cisco introduced a new classification of commercial enterprise server system known as the Cisco Unified Computing system (UCS). however this new market class raises questions for records storage specialists that we'll are trying to reply here.
Editor's Tip: Now that Cisco programs Inc. has entered the records center server market, what does this mean for the unified computing house? during this podcast, Marc Staimer, president of Dragon Slayer Consulting, discusses the unified computing system market. study more concerning the impact of Cisco's entrance during this area, the selected problems unified computing addresses, and what unified storage skill for value-delivered resellers (VARs) and system integrators.
What market problems does the Unified Computing equipment resolve?
Cisco maintains that its Unified Computing equipment solves a collection of intricate facts center problems while unleashing the abilities of digital servers. among the market complications Cisco claims americaaddresses are:
An lack of ability to get essentially the most out of server virtualization because of imperfect integration with IP networking, storage networking and storage
The headaches of absolutely separate fabric for IP networking and storage networking. This raises ground area, rack area, vigor and cooling, while lowering IT administrator productiveness and infrastructure useful resource utilization
constrained end-to-end visibility, which reduces IT flexibility and makes it complex to get to the bottom of problems
Inefficient power consumption
but are these issues respectable, pressing information center storage problems? Ongoing discussions between this author and a whole bunch of end users and dozens of cost-introduced resellers (VARs) verify that these are genuine problems when implementing server virtualization.
Editor's Tip: The unified built-in computing, community and space for storing offers some remarkable information to the price-added reseller (VAR) channel. it's a brand new market that solves real records core complications inspite of the dimension of the IT organization. read this article to find out the four VAR market alternatives.
How enjoyable is Cisco's Unified Computing equipment?
Cisco's americaincorporates the following 10 parts.
1. u.s.B-series Blade Servers. The blade servers are in line with Intel Corp.'s newest Xeon 5500 (code-named Nehalem). The Xeon 5500 integrates the memory controller and CPU cores, can handle more reminiscence and is greater energy effective. besides the fact that children, the Unified Computing system is never interesting in offering Xeon 5500 blades. all of the server carriers have Xeon 5500 server blades or quickly will.
There are two issues that are exciting in regards to the u.s.B-sequence Blade Servers. they may be packaged with considerably extra memory, which increases the ratio of expertise virtual servers hosted per blade, and a consumer can have any type of blade server they need as long because it's a Xeon 5500. In different words, there may be extraordinarily confined blade server flexibility with out a options for different forms of blades comparable to these from advanced Micro gadgets (AMD) Inc. and even other Intel servers.
2. americaConverged network Adapters (CNAs). Converged network adapters permit server TCP/IP network I/O and storage I/O (Fibre Channel over Ethernet [FCoE] and iSCSI) to run concurrently on the identical adapters. the U.S.CNAs are from QLogic Corp. and Emulex Corp. And while there is only one different competitor that has announced optional CNAs at this time (InteliCloud Inc.), it's generally expected that all the server blade companies could have it as an choice either this 12 months or next as the ANSI standards for Converged greater Ethernet (CEE) are locked down. more on CEE later and no matter if there are any other confirmed reduce can charge alternate options.
Cisco systems calls its version of CEE switches and CNAs data center Ethernet (DCE). but on the grounds that the commonplace is never yet set in stone, it's, with the aid of definition, proprietary.
3. america5100 sequence Blade Server Chassis. The Unified Computing gadget blade server chassis is designed for up to eight blade servers and takes up a bit less rack house whereas a bit reducing the power and cooling to similar blade server chassis. less real estate, power and cooling is always a very good component. however it's the capability to mix as much as forty of the chassis (320 servers) in a single built-in device that adds credence to Cisco's claims of solving records core problems.
4. u.s.2100 collection textile Extenders. The textile extenders are nearly 10 Gigabit Ethernet DCE fan out switches in the server chassis designed to simplify cabling to the blade server chassis. each and every textile extender offers 10 GbE ports per server blade with 4 10 GbE CEE ports to the fabric. There can also be up to two fabric extenders per chassis, proposing a worst-case state of affairs of two:1 oversubscription to the chassis.
Chassis fan out switches are far from new or ingenious. Fibre Channel, Ethernet and 10 GbE are available on most blade chassis and had been for ages. Even converged community and storage I/O blade chassis switches were accessible with InfiniBand (ex. Dell Inc., Hewlett-Packard [HP] Co. and IBM), and more recently with Multi Root IO Virtualization (in keeping with PCIe switching) for Oracle Corp.-solar Microsystems Inc. blade chassis.
however whereas InfiniBand is lower latency, larger performance and decrease cost than DCE, it be not perceived as mainstream. And while data core Ethernet is Cisco programs' proprietary implementation of CEE, it be in keeping with 10 Gb Ethernet, which is perceived as mainstream and open, and may via definition interoperate with Cisco networks.
The distinctiveness right here is that Cisco systems is first to market with converged community and storage I/O on 10 GbE. Converged I/O (regardless of the expertise) reduces adapters, cables, change ports, switches, management, energy and cooling.
5. u.s.a.VN-link (aka Cisco Nexus 1000V virtual switch). The VN-hyperlink digital change replaces the VMware virtual swap. VN-link links the virtual and physical networking policies and administration. It eliminates the VM firewall that virtually exists to the community administrator and gives the conclusion-to-conclusion visibility it really is always lacking. This eliminates the advert hoc scripts that are sometimes written (and not supported) in an try to deliver one of the equal visibility. Its Ethernet-centric design makes it an ideal healthy for converged networking and storage I/O.
This component is presently entertaining to Cisco methods. however, it will also be licensed and implemented on any VMware implementation, together with different supplier blade programs.
6. u.s.6100 series fabric Interconnects. this is Cisco's DCE interconnect swap. It interconnects the blade chassis to every different, as well as to FCoE storage, FC storage, iSCSI storage or community-connected storage (NAS). each change can have 20 or forty 10 GbE ports with up to twenty or 40 switches in a single equipment. again, Cisco systems has a primary-to-market talents with albeit a proprietary edition of CEE with gateway capabilities to Fibre Channel.
however there are aggressive switches rising from Brocade/Foundry Networks Inc. Others are anticipated from severe Networks, Force10 Networks Inc. and Juniper Networks Inc., amongst others.
7. united statessupervisor. Cisco manages the complete Unified Computing equipment digital information middle with one usasupervisor platform. The core of the USAmanager is BMC software Inc.'s "commercial enterprise confirmed" BladeLogic provisioning of digital aspects application. It additionally integrates seamlessly with VMware Inc.'s VMware vCenter Server administration utility to simplify conclusion-to-end manage.
This end-to-conclusion management is never exciting. Akorri Inc. BalancePoint, HP OpenView, IBM Tivoli Storage manager (TSM), Tek-tools software Inc. Profiler and Veeam software Reporter and computer screen items, among others, all have extraordinary, even fabulous end-to-conclusion server equipment, community, storage and virtualization management.
eight. OEM application companions with prepackaged integration. This contains right here:
VMware vSphere 4 server virtualization and its vCenter Server for virtual community guidelines and supplies
Microsoft home windows Server 2003, windows Server 2008 Hyper-V and Microsoft SQL Server
BMC BladeLogic solutions for provisioning of digital aspects
RedHat and Novell SUSE Linux server
9. Storage partners. This contains:
EMC Corp.'s Symmetrix V-Max, Clariion and NS collection storage
NetApp FAS and V-series storage
10. service and guide associate. Accenture gives box support functions.
Editor's Tip: study this text to discover about Hewlett-Packard (HP) Co.'s BladeSystem Matrix and InteliCloud Inc.'s 360, two alternatives to Cisco programs Inc.'s Unified Computing device.
Unified Computing gadget is new market category, however alternate options exist
however, alternate options to Cisco's Unified Computing equipment do exist. Hewlett-Packard (HP) Co.'s HP BladeSystem Matrix additionally has a tight integration of servers, virtualization, management, and community and storage I/O. however in contrast to the Unified Computing equipment, the HP BladeSystem Matrix enables for a big range of server blades, a wealth of storage alternate options and has an entire equipment of integrated features. InteliCloud Inc.'s 360 is another alternative that has an imaginative chassis design, a proactive method to cooling and versatile server blades.
Cisco systems' Unified Computing system has interesting technical capabilities with most of them involving the company's proprietary DCE implementation of converged networking and storage plus VN-link. The true energy and key behind united states of americais Cisco's tight integration of and prepackaging of servers, virtualization and administration with its potential of converged storage and community I/O.
americais more than a brand new Cisco product, it be a new market category that solves noteworthy, pressing statistics middle server virtualization operational problems. besides the fact that children, americais never the most effective product set that solves these statistics core complications. Hewlett-Packard has a superb alternative with its HP BladeSystem Matrix and InteliCloud has a extra technically imaginitive answer with its 360 product.
BIO: Marc Staimer is president of Dragon Slayer Consulting.
Cisco Readies New Hardware Optimized for Deep discovering
by using Becky Nagel
a brand new server designed to help deep studying tasks is coming from Cisco programs Inc.
Cisco defines deep getting to know as "a compute-intensive form of computing device researching that uses neural networks and large statistics sets to train computer systems for advanced tasks." The business stated the new server, referred to as the Cisco usaC480 ML, chiefly helps these tactics by the use of a mix of computing skill, plus "an IT structure it is in a position to taking in gigantic units of facts."
The server specs include:
Eight Nvidia SXM2 V100 32 modules (for "quickly deep gaining knowledge of mannequin working towards")
Intel Xeon processors with up to 28 cores per socket
2666-MHz DDr5 memory with 24 DIMM slots, a.k.a. almost 3TB of complete memory ("massive reminiscence footprint to convey performance and capability for tremendous mannequin practicing")
integrated dual 10-Gbdp Ethernet ("extended network I/O efficiency and further community options")
It will also be deployed standalone or within a Cisco Unified Computing system (UCS)-managed environment.
"Over the next few years, apps powered with the aid of artificial intelligence and computing device discovering will develop into mainstream in the enterprise," spoke of Roland Acra, senior vice chairman and ordinary manager for Cisco's facts core company group, in a prepared observation asserting the server. "cutting-edge potent addition to the Cisco u.s.a.lineup will power AI initiatives across a wide array of industries."
"The incorporation of Nvidia's Tesla V100 Tensor Core GPUs into Cisco's new u.s.server gives groups in each trade a powerful new answer for advancing their AI initiatives," commented Ian Buck, vice president and frequent manager of Accelerated Computing at Nvidia. "With Nvidia GPUs, AI fashions that had required weeks of computing useful resource can now be knowledgeable in just a few hours, enabling a whole new world of problems to be solved with AI."
according to Cisco, the new server may be available for buy by the use of Cisco companions in "this fall 2018."
extra about Cisco's normal push toward an AI-concentrated architecture, additionally announced this week, can also be discovered here.
Becky Nagel is the vice chairman of internet & Digital approach for 1105's Converge360 neighborhood, the place she oversees the entrance-end internet team and offers with all aspects of digital method. She also serves as govt editor of the neighborhood's media internet sites, and you'll even discover her byline on PureAI.com, the group's newest web site for enterprise developers working with AI. She lately gave a talk at a leading technical publishers convention about how changes in web technology can also have an effect on publishers' backside lines. follow her on twitter @beckynagel.
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Unified Computing Troubleshoot
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ALBANY, New York, Feb. 1, 2019 /PRNewswire/ -- The global unified communication as a service market is estimated to grow notably in the coming years. In 2015, the key five players in the market of Unified Communication as a Service (UCaaS) collectively held the share of around 57%. According to a recent report by Transparency Market Research states that the major scope for the five players is in the combining of several business application and process. This is foreseen to increase the popularity of UCaaS solutions all over the world. The demand for UCaaS is likely to surge in the coming years owing to rising investment in industries for example, consumer goods, financial services, and insurance (BFSI), transportation and logistics, retail, and telecom.
The 5 leading companies operating in the global UCaaS market are West Corporation, 8X8 Inc., Microsoft Corporation, Fuze Inc., and Cisco Systems Inc., The other key firms in the market are IBM Corporation, Avaya, Inc., Hewlett-Packard Development Company, Alcatel-Lucent SA (Nokia Networks), Unify, Inc. (Atos SE), and so on.
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As per the research report by TMR, the global unified communication as a service (UCaaS) market is likely to project a tremendous expansion with 29.4% of CAGR within the forecast period from 2016 to 2024. In 2015, the UCaaS market was valued around a worth of US$8.23 bn. This figure is anticipated to reach around the value of US$79.3 bn by the end 2024.
On the basis of deployment model, in 2015, the segment of hosted UCaaS solutions dominated the market. The segment is estimated to lead in the upcoming years as well, through 2024.majorly sue to increased adoption of IP telephony access all over the world. Moreover, the low overall price of TCO and key upgradation in cloud communication stages are contributing in the growth of the segment in the global unified communication as a service (UCaaS) market. Based on geography, in 2015, North America region led the global UCaaS market, and is expected to keep on leading the global market in forecast period as well as the main revenue contributor. The growth is credited to the emergence of huge tech-savvy employees and improved infrastructure in the mentioned region. Moreover, the demand in UCaaS is expected to surge in the coming years owing to rise in investment.
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Increased Liberalization to Bolster AMkret Demand for UCaaS
"Developing liberalization across the globe has constrained large firms to get into cross-fringe markets, in this way fueling the demand for collaboration software to allow workers of a firm to adequately communicate among themselves," the author of the investigation remarks. UCaaS solutions bolster this need and accordingly, the market has been getting a major lift. "The effect of this factor will be on rise in the span of forthcoming years with organizations prone to expand operations in developing economies, for example, Asia Pacific and the MEA," the analyst states.
The inclination towards the popularity of the bring your own device (BYOD), different advantages provided by UCaaS solutions, along with flooding penetration of cell phones are also in charge of upcoming growth of the UCaaS market.
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Lack of Awareness to Hinder Market Growth in Coming Years
However, the less awareness about UCaaS and the advantages they offer threatens to hamper the adoption rate of UCaaS by SMEs. Nevertheless, this hindrance is anticipated to witness a minimal impact on the UCaaS market in the future.
The review is based on the findings of a report by Transparency Market Research, titled "Unified Communication as a Service (UCaaS) Market (Deployment Model - Managed, Hosted; Deployment - UC Software as a Service (SaaS), UC Platform as a Service (PaaS), UC Infrastructure as a Service (IaaS); by Services - Telephony Services, Contact Center Services, UC Application Services, Collaboration Services; End-users - Large Enterprise, Small and Medium Enterprises (SMEs), Public Sector; and Delivery Model - Stand-alone Services, Integrated Services) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2016 – 2024."
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Global Unified Communication as a Service (UCaaS) Market, By Deployment Model
Global Hosted Unified Communication as a Service (UCaaS) Market, By Deployment Type
· UC Software as a Service (SaaS)
· UC Platform as a Service (PaaS)
· UC Infrastructure as a Service (IaaS)
Global Unified Communication as a Service (UCaaS) Market, By Services
· Telephony Services
· Contact Center Services
· UC Application Services
· Collaboration Services
Global Unified Communication as a Service (UCaaS) Market, By End Users
· Large Enterprise
· Small and Medium Enterprises (SMEs)
· Public Sector
Global Unified Communication as a Service (UCaaS) Market, By Delivery Model
· Stand-alone Services
· Integrated Services
Global Unified Communication as a Service (UCaaS) Market, By Geography
· North America
· Asia Pacific
· Rest of the World (RoW)
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Feb. 7 — As home to three top-ranked supercomputers of the last decade, the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) has become synonymous with scientific computing at the largest scales.
Getting the most out of these science machines, however, requires a willingness to experiment with problems and systems of every size and scale. This is especially important as technology vendors introduce new system architectures and as scientists’ problem-solving toolkit expands to include artificial intelligence (AI) and advanced data analysis.
In that spirit, ORNL recently installed two NVIDIA DGX-2 systems, powerful GPU-accelerated appliances that will provide researchers with enhanced opportunities to conduct science—machine learning and data-intensive workloads in particular. The appliances will also provide an on-ramp to ORNL’s Summit—the world’s most powerful supercomputer—by enabling smaller and more experimental projects to be developed and tested before they run on the 200-petaflop machine. The DGX-2 appliances reside in the laboratory’s Compute and Data Environment for Science (CADES), which offers compute and data services for ORNL researchers.
“As Summit enters production, these DGX-2 systems supply ORNL with exploratory multipurpose computing resources,” said CADES director Arjun Shankar. “Early results suggest the DGX-2s will provide novel opportunities in data analysis, machine learning, and modeling and simulation that support the AI-driven transformation that is changing how science is conducted.”
The DGX-2 represents the latest step-change in AI appliances, housing 16 fully interconnected NVIDIA Tesla V100 GPUs with increased GPU memory, a powerful combination that expands the types of problems scientists can tackle in a unified environment. In addition to a standard DGX-2, ORNL received the newly available DGX-2H, which offers higher performance through upgraded CPUs and faster-clocked GPUs.
ORNL’s DGX-2 and DGX-2H appliances provide laboratory researchers with enhanced opportunities to conduct science and serve as an onramp to ORNL’s Summit supercomputer
Since NVIDIA debuted the DGX line in 2016, ORNL has deployed the appliances throughout the laboratory to connect researchers with a platform that excels at executing machine learning techniques with the potential to automate some of the time-intensive analysis inherent in research. This is especially relevant to ORNL’s world-class experimental facilities, such as the Spallation Neutron Source, which produce large, unique datasets in need of analysis and automated data workflows.
Appliance for Science
In late 2018, Arvind Ramanathan, a staff scientist in ORNL’s Computational Sciences and Engineering Division, and his team were among the first groups to receive extended time on the DGX-2s. The team used the opportunity to train and optimize algorithms that belong to a class of machine learning called reinforcement learning, in which an “agent” attempts to master its environment by performing actions and evaluating the results without any preexisting knowledge.
Reinforcement-learning algorithms, famously showcased by Google’s AlphaGo program, have proven capable of achieving prescribed goals, such as winning games, but optimizing the preset parameters that control their decision-making can be difficult. Running multiple algorithms simultaneously on the DGX-2 systems allowed Ramanathan’s team to identify superior optimization strategies via an ORNL-developed software called HyperSpace in a fraction of the time another system would require.
“We couldn’t have done this without a DGX-2 because the problem space that we were exploring was so large and sample inefficient,” Ramanathan said. “Because these GPUs can essentially be used in a unified way, we can do things that are much more difficult to do on other systems, especially in terms of moving data and doing analysis.”
Though ORNL is known for conducting leadership-scale science on its massively parallel supercomputers, there are instances when an innovative smaller machine can be useful. Refining algorithms on the DGX-2 can improve researchers’ confidence that their AI software is ready to be deployed later at scale. Additionally, workloads that may be poorly suited to run on a supercomputer—jobs that don’t scale or jobs that need to run for extended periods of time, for example—could be carried out on a DGX-2 appliance.
The DGX-2s also have something to offer to traditional modeling and simulation. Researchers can run simulations side by side with AI to extend simulations further than they would otherwise go, using AI-recognized patterns in the data to “steer” the simulation correctly. A project supported by ORNL’s Laboratory Directed Research and Development program is dedicated to a molecular dynamics framework called Molecules that can execute AI-informed simulation.
“Traditionally, running AI side by side with simulation would be too expensive,” Ramanathan said, “but state-of-the-art systems like Summit and the DGX-2 enable this in such a way that we can think of this arrangement as a fused workflow in some sense.”
Currently, CADES staff are working to integrate the appliances into the data center’s shared environment so researchers can submit jobs as easily as they can to any other CADES resource. The two DGX-2 systems have been connected by a dedicated EDR InfiniBand network to combine the systems’ capabilities.
“The idea is that researchers will be able to schedule up to 32 GPUs at one time to run in parallel,” said CADES team lead Brian Zachary.
HyperSpace software development is part of the CANcer Distributed Learning Environment project, a cancer research effort supported by the Exascale Computing Project.
UT-Battelle LLC manages ORNL for DOE’s Office of Science. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, please visit https://science.energy.gov.
Source: Jonathan Hines, ORNL
More than 60 global founding members across enterprise, IoT, telecom and cloud collaborate on open source framework for edge computing and future of IoT
SAN FRANCISCO, Jan. 31, 2019 /PRNewswire/ -- The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the launch of LF Edge, an umbrella organization to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. LF Edge is initially comprised of five projects that will support emerging edge applications in the area of non-traditional video and connected things that require lower latency, faster processing and mobility.
LF Edge includes Akraino Edge Stack, EdgeX Foundry, and Open Glossary of Edge Computing, formerly stand-alone projects at The Linux Foundation. The initiative also includes a new project contributed by Samsung Electronics, which will create a hub for real-time data collected through smart home devices, and another project from ZEDEDA, which is contributing a new agnostic standard edge architecture.
"The market opportunity for LF Edge spans industrial, enterprise and consumer use cases in complex environments that cut across multiple edges and domains. We're thrilled with the level of support backing us at launch, with more than 60 global organizations as founding members and new project contributions," said Arpit Joshipura, general manager, The Linux Foundation. "This massive endorsement, combined with existing code and project contributions like Akraino from AT&T and EdgeX Foundry from Dell EMC, means LF Edge is well-positioned to transform edge and IoT application development."
Through the formation of a software stack that brings the best of telecom, cloud, and enterprise (representing location, latency and mobility differentiation), LF Edge will help ensure greater harmonization to accelerate deployment among the rapidly growing number of edge devices slated to exceed 20 billion by 2020. In order for the broader IoT to succeed, the currently fragmented edge market needs to be able to work together to identify and protect against problematic security vulnerabilities and advance a common, constructive vision for the future of the industry.
More about LF Edge projects:
Akraino Edge Stack is creating an open source software stack that supports high-availability cloud services optimized for edge computing systems and applications;
EdgeX Foundry is focused on building a common open framework for IoT edge computing.
Home Edge Project, seed code contributed by Samsung Electronics, is a new project that concentrates on driving and enabling a robust, reliable, and intelligent home edge computing framework, platform and ecosystem running on a variety of devices in our daily lives.
Open Glossary of Edge Computing provides a concise collection of terms related to the field of edge computing.
Project EVE (Edge Virtualization Engine), contributed by ZEDEDA, will create an open and agnostic standard edge architecture that accommodates complex and diverse on- and off-prem hardware, network and application selections.
As the IoT increasingly trades legacy embedded devices for cloud native computing devices with greater compute power, edge and IoT developers need vendor-neutral platforms and a shared vocabulary for deploying and securing their devices. Industries including industrial manufacturing, cities and government, energy, transportation, retail, homes, building automation, automotive, logistics and healthcare all stand to be transformed by edge computing, which by its nature spans many different systems, domains, hardware and software.
Bringing Unity to the Fragmented Edge Computing Realm
Already home to several other thriving umbrella organizations – including Cloud Native Computing Foundation, LF Networking, and LF Deep Learning –The Linux Foundation provides a neutral structure for building an open source community. Under the auspices of The Linux Foundation, LF Edge will drive better, more secure development at the edge, outlining an aligned vision for the diverse and complex edge projects being built today.
LF Edge is already supported by a strong roster of industry-leading founding members: (Premier) Arm, AT&T, Baidu, Dell EMC, Dianomic Inc., Ericsson, HP Inc., HPE, Huawei, IBM, Intel, inwinStack, Juniper Networks, MobiledgeX, Netsia, Nokia Solutions, NTT, OSIsoft, Qualcomm Technologies, Radisys, Red Hat, Samsung Electronics, Seagate Technology, Tencent, WindRiver, Wipro, ZEDEDA; and (General) Advantech Co., Alleantia srl, Beechwoods Software Inc., Canonical Group Limited, CertusNet, CloudPlugs Inc., Concept Reply, DATA AHEAD AG, Enigmedia, EpiSensor, Foghorn Systems Inc., ForgeRock US Inc., Foundries.io, Hangzhou EMQ Technologies Co. Ltd., IOTech Systems Ltd., IoTium, KMC, Linaro, Mainflux, Mocana, NetFoundry, Packet, Pluribus Networks, RackN, Redis Labs, VaporIO, Vitro Technology Corp., Volterra Inc., Wanxiang Group; and (Associate) Automotive Edge Computing Consortium (AECC), Beijing University of Posts and Telecommunications (BUPT), Electronics and Telecommunications Research Institute (ETRI), Infrastructure Masons, Inc., and Project Haystack.
More details on LF Edge, including how to join as a member, are available here: www.lfedge.org.
LF Edge Project Support
"End-to-end cohesion requires big companies to come together to foster the space for industrial collaboration and emerging architectures across mobile, residential, SMB and enterprise organizations when dealing with the edge," said Roman Shaposhnik, vice president of Product and Strategy, ZEDEDA. "This initiative provides critical leadership — not just a piece of the edge puzzle — with the ultimate output being working code."
"As devices play more important roles in our everyday lives, the edge computing is one of the key driving forces for a new computing paradigm within the IT industry," said Seunghwan Cho, executive vice president of Samsung Research, the advanced R&D arm of Samsung Electronics' device business. "As Samsung is one of the leading open source contributors at LF Edge, we'll be in the forefront of realizing and accelerating edge computing, which can provide assistance to a wide array of fields, including Home Edge, Industrial, and Mobile Edge Computing (MEC)."
"The Linux Foundation has created the perfect vehicle for collaboration and coordination across the diversity of LF Edge projects," said Matt Trifiro, former chair of the Open Glossary of Edge Computing and chief marketing officer, Vapor IO. "We see the Open Glossary playing a vital role in fostering a shared understanding that accelerates innovation. We look forward to working with the all of the LF Edge projects to cross-pollinate terminologies and harmonize the lexicon."
"We are thrilled by the progress of Akraino Edge Stack so far and excited to see the Linux Foundation deepen its commitment into edge computing," said Oliver Spatscheck, former Akraino Governing Board chair and assistant vice president at AT&T Labs. "The launch of LF Edge will accelerate edge innovation and drive real business value by bringing a diverse set of edge players under one roof."
"LF Edge will create a comprehensive and coordinated set of foundational open source tools to enable developers to accelerate time to value in creating IoT and Edge computing solutions," said Jason Shepherd, former Governing Board chair of EdgeX Foundry, and IoT and Edge Computing chief technology officer at Dell Technologies. "We look forward to continuing to foster IoT interoperability within the EdgeX community in addition to collaborating across LF Edge projects to develop de facto-standard APIs for intelligent interactions between the application and infrastructure planes within the broader edge ecosystem."
See here for additional supporting quotes from LF Edge founding members.
About The Linux FoundationThe Linux Foundation is the organization of choice for the world's top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.
The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.
Media ContactJill LovatoThe Linux Foundationjlovato@linuxfoundation.org
Logo - https://mma.prnewswire.com/media/455385/The_Linux_Foundation_Logo.jpg
SOURCE The Linux Foundation
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