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000-202 - Enterprise Storage Technical Support(R) Specialist V1 - Dump Information

Vendor : IBM
Exam Code : 000-202
Exam Name : Enterprise Storage Technical Support(R) Specialist V1
Questions and Answers : 59 Q & A
Updated On : November 15, 2018
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000-202 Questions and Answers

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000-202 Enterprise Storage Technical Support(R) Specialist V1

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000-202 exam Dumps Source : Enterprise Storage Technical Support(R) Specialist V1

Test Code : 000-202
Test Name : Enterprise Storage Technical Support(R) Specialist V1
Vendor Name : IBM
Q&A : 59 Real Questions

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IBM IBM Enterprise Storage Technical

IBM Raises The Bar For Storage, once again | killexams.com Real Questions and Pass4sure dumps

The large news in the know-how world this previous week turned into IBM enterprise’s purchase of crimson Hat in one of the largest utility company acquisitions in history. while it really is a basis-shaking move for both IBM and crimson Hat, it will no longer impact the everyday lives of most working IT specialists.

IT experts focal point on providing invariably authentic and satisfactory service to their valued clientele.  while the pink Hat integration will take a while to yield up-to-date product and applied sciences roadmaps for the brand new mixed enterprise, IBM’s recent plethora of storage announcements is tons more essential when brooding about your IT corporation’s needs.

i really like masking IBM's storage announcements. The storage community, whereas sitting within an unquestionable behemoth of a technology company, moves with the pace and agility of a much smaller corporation. it is a firm that has palpable energy within it.

This agility and pace has allowed the IBM storage team to carry a cadence of stunning new technology and product bulletins. What I discover captivating about this group is its steadfast alignment against a compelling imaginative and prescient of how business statistics should be managed.

IBM’s storage story makes a speciality of how statistics is generated, managed, and consumed within an enterprise. it is that realizing that generates a collection of applied sciences that can also be leveraged to carry a cohesive solution to any IT organization.

Would you have guessed that IBM now has the broadest portfolio of NVMe and NVMe-over-material enabled items in the business? It shocked me. I wasn’t surprised to learn that IBM is the realm chief in tape archive options, given that I begun in this business by using altering nine-song tapes for fuel cash. IBM and tape are completely cemented in my intellect. on the identical time, a portfolio that reaches from arguably the quickest storage arrays in creation to the lowliest tape drive is fairly a span.

All about utility

IBM has all the time been about offering cohesive software-first options to IT, which it closely couples with smartly-engineered hardware. This has been real in view that IBM delivered its first mainframe seventy years ago, continuing these days with its vast range of choices in compute and storage that span on-premises and cloud architectures.

as it corporations movement from tape to cloud for records insurance plan and archival storage, and as information comes alive with the rise of AI-driven analytics and area-driven compute, managing that facts turns into a logistical problem. figuring out the place statistics is, what it’s used for, and what the company’s necessities are in maintaining that data is what drives long-time period technology choices.

Managing the circulate of a firm’s information, whereas supplying insights on the features of that records, is what IBM’s Spectrum Storage suite is all about. There are IBM Spectrum Storage products that manage records in virtualized environments, provision storage into hybrid-cloud deployments, manage the complexities of facts-protection and backup, and that provide software-described storage solutions for file, block, and objects.

IBM's contemporary announcements covered a flurry of latest facets throughout the Spectrum Storage line, including a new solution for SAP HANA installations that leverages IBM storage, IBM Spectrum offer protection to, and IBM Spectrum copy. It’s a huge listing, but two application-related announcements dominated my attention.

IBM Storage Insights

IBM Storage Insights is a cloud-based mostly administration tool that leverages IBM AI expertise to notice storage networking efficiency considerations and proactively generate guide circumstances to support IT before considerations develop into issues. This class of capability is rolling out from companies throughout the IT industry and is fast fitting desk stakes for selling storage solutions into the enterprise.

i'm completely satisfied to see IBM unencumber this product. Given IBM's heritage in synthetic intelligence, combined with its half-century-lengthy institutional legacy in supporting datacenter technology, it could develop into something special.

Mapping unstructured data

Analytics-pushed workloads and side computing both power new necessities for unstructured data. Object storage is without doubt one of the fastest starting to be storage technologies in business IT, with solutions from most appropriate-tier storage companies, including IBM. The problem of unstructured information lies inside the capability to have in mind what the facts is, the place it got here from, and what an IT team should do with it.

IBM Spectrum discover is a new offering from IBM that goals to tame unstructured facts and supply insights into exactly what that information is. Spectrum find, which arose from expertise generated inner of IBM analysis, scans and creates metadata, growing catalogs for an unstructured records set. here is designed to supply a roadmap to a firm's statistics. IBM Spectrum find will assist statistics inside IBM Cloud Object Storage and IBM Spectrum Scale techniques and, most exceedingly, is anticipated to help Dell EMC Isilon sometime in 2019.

realizing unstructured statistics is a problem for organizations, one that turns into greater difficult day by day. It’s also now not an easy problem to install typical application equipment to resolve. It’s wonderful to look IBM deliver know-how into this area. it can set the bar for others to follow.

efficiency and density

As excited as I get about application, it is just as good as the underlying hardware. IT consumers nowadays may still think spoiled by means of the first-class and breadth of options accessible to them. the upward thrust of strong-state storage, NVMe interconnects, and integrated server-category processing makes it a superb time to purchase storage options.

IBM is increasing its portfolio of hardware choices and, at the same time, changing into the technology provider with the broadest providing of NVMe and NVMe-over-material storage items. IBM makes a speciality of efficiency with NVMe, and on storage density with its unique flash packaging expertise.

The optimal illustration of IBM’s focus on density is the DS8880F, which practically doubles its flash capability to a whopping 737TB (in comparison to its previous 368TB). at the equal time, the IBM FlashSystem 900 and 9100 products are doubling in capacity with new 18TB modules a good way to aid as much as 44TB helpful ability. This new means is up from 22TB provided by using the previous era module.

The updated third-generation Storwize V7000 features integrated NVMe and a number enlargement options, whereas offering what IBM describes as a 2.7x boost in highest throughput for some workloads—all whereas being clustered with different V7000 arrays to serve a cluster-huge 32PB of ability.

IBM introduced further hardware points and tweaks across its storage line. check out its site if you wish to go deep on the details.

Concluding options

in the battle for bragging rights, carriers put up "hero numbers" that display that they have the area's quickest array. This 12 months that declare became credibly made through Dell EMC, Pure Storage, and IBM. The fact is that most structures that are constructed on contemporary-know-how—leveraging NVMe interconnects both inside and outside of the box, and wearing legit media—will all fulfill most disturbing storage wants.

past hardware bragging rights, IT teams deserve to center of attention on the broader query of how those storage options are built-in into their overall IT architecture. software is the glue that ties together storage hardware with cloud, hybrid-cloud, and other storage and compute models to service the changing demands of records inside the enterprise.

IBM focuses on delivering a holistic answer to datacenters. Given the breadth and depth of its storage portfolio, its supporting utility suites, and its penetration into cloud, IBM is one to watch as businesses’ bits and bytes are grew to become into actionable records.

Disclosure: My enterprise, Moor Insights & strategy, like any analysis and analyst establishments, provides or has offered analysis, analysis, advising, and/or consulting to many high-tech businesses within the trade, including Dell EMC, purple Hat, and IBM, which can be mentioned listed here. I do not hang any equity positions with any corporations referred to in this column.


Cobalt Iron aims IBM i with New VTL providing | killexams.com Real Questions and Pass4sure dumps

November 14, 2018 Alex Woodie

Cobalt Iron the previous day unveiled a new analytics-infused virtual tape library (VTL) answer that it says will optimize and convey IBM i backup and healing operations into sync with the rest of the commercial enterprise. The providing lets IBM i users back up their data to anyplace – including on-premise and the cloud backups, with automated replication in between — but without giving up IBM i-specific facets delivered via current equipment like BRMS and native instructions.

Richard Spurlock headquartered Cobalt Iron 5 years in the past with a plan to modernize backup and recovery. He saw that companies had been spending too an awful lot time and funds dealing with dedicated options, so the business delivered an answer referred to as Adaptive statistics coverage, or ADP, that offers a centralized aspect for managing backups and recovery throughout a number common platforms, file systems, and databases.

Delivered both as software or as an appliance (pre-loaded onto hardware like an IBM Storwize machine), ADP is designed to automate most of the administrative projects that ought to in any other case be performed with the aid of individuals. That comprises not just managing the backup policies and provisioning new substances, however managing the underlying servers and storage infrastructure (VIOS, anybody?) and even monitoring facts replication to disaster recovery websites in advanced hybrid eventualities spanning on-premise and public (or inner most) clouds.

the key ingredient that Cobalt Iron brought to the equation – what Spurlock says differentiates ADP and makes it a special providing within the space – is its use of analytics.

“information insurance plan is the greatest software within the business. It’s probably the most brutal. It touches essentially the most techniques and essentially the most applications, and has to do the most work in the shortest duration of time,” Spurlock tells IT Jungle. “Analytics drives all that and enables us to normally tune and optimize the layers of the programs, the places of the systems, and deliver the correct guidelines and the right repair necessities and the correct information when valued clientele want it.

“Analytics is why Cobalt Iron is right here.”

to this point, the Lawrence, Kansas, company has attracted customer across forty four international locations. at least one in every of its consumers is backing up in extra of 1 petabyte of statistics the use of ADP, while a few have a hundred terabytes or extra. The company boasts IBM and Mainline information techniques as enterprise companions, and supports IBM’s cloud-based mostly object storage offering, as well as these from cloud giants Amazon and Google.

In September, Cobalt Iron launched ADP 4.1, which nominally brought assist for the IBM i operating system, together with other vigour systems structures. however, IBM i purchasers ostensibly will get extra functionality with the new VTL statistics ingest choice that became introduced yesterday.

based on Cobalt Iron, the VTL facts ingest direction will make it even less difficult to connect ADP to non-average host techniques like IBM i servers. by means of emulating an LTO pressure or library (and even different VTLs like data Domains), Cobalt Iron is in a position to comprise native IBM i backup routines into the ADP scheme, devoid of giving up manage at the native level.

“We don’t alternate the latest iSeries backup and fix operations,” Spurlock says. “In that experience, it’s quality because it seamless matches into iSeries operations, no matter if it’s RobotSAVE, BRMS, or a mixture of BRMS with SAVE21, SAVESYS, or SAVESEC. It’s the equal with recovery. We don’t trade that.”

The aim is to automate every little thing within the information coverage scheme, other than the “ultimate mile” of connectivity into IBM i, AIX, VMS, HP-UX, power Linux, and HP3000 hosts. valued clientele are loathe to surrender handle into the closing mile, and will deal with those necessities themselves, Spurlock says.

“What happens in the remaining mile the client knows about. The customers be mindful the requirements as they ebb and flow through time,” Spurlock says. “every little thing however the ultimate mile is managed by using ADP.”

as soon as the gadget is configured, shoppers can rely on ADP to control the backup necessities. according to Spurlock, this may at last provide IBM i stores the benefits of a contemporary, optimized backup and healing ambiance that other systems are beginning to get pleasure from, but without giving up local manage.

Cobalt Iron says its new VTL alternative will simplify records coverage operations for IBM i retail outlets.

“What we study today and what we’ve seen in patterns for 30-plus years, is platform-specific, product-specific tools and know-how, and heavy complexity from a storage, system, and utility perspective,” he says. “There are core techniques that frankly are left backyard of the statistics insurance plan panorama. They’re no longer first-type citizens. And from our viewpoint, these essential applications and platforms that customers need defining and participating in core business-classification information insurance policy.”

as an instance, some of the enterprise’s IBM i purchasers is a health center community with more than 200 amenities. “Their vital programs – inpatient onboarding, financial programs, affected person tracking and so forth — is all delivered on iSeries. To be capable of protect this cohesively with the rest of the commercial enterprise, which is home windows, Linux, and virtualization and cloud resources, is a key component of what shoppers should be experiencing.”

a part of that up to date records insurance policy experience contains ADP Commander, which is Cobalt Iron’s “single pane of glass” for monitoring backup and restoration operations. while purchasers are looking to be insulated from one of the crucial underlying complexity in statistics insurance policy, they nonetheless demand handle at the high degree.

delivering respectable performance is additionally part of the equation, specifically when valued clientele back up statistics to public clouds. “the important thing isn't simplest around sovereignty and handle, however it’s additionally performance,” Spurlock says. “i will discuss cloud object storage all day lengthy, however throughout healing on a cloud object storage, its’ just not the fastest or fanciest thing on this planet. So in lots of instances, that short time period, priority-restore type statistics stays on prem in a cheap efficiency tier, like an IBM Storwize storage array. however long run statistics can are living in different places, offsite, for slower recuperation requirements.”

Cobalt Iron costs its answer in response to the quantity of information being ingested into its system. It presents every day ingest tiers, from 0 TB up to 65TB, to in shape a range of backup sizes. For extra assistance, see the enterprise’s web site at www.cobaltiron.com.

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Seagate and IBM Work together to support reduce international difficult pressure Counterfeiting with Blockchain technology | killexams.com Real Questions and Pass4sure dumps

CUPERTINO, Calif. & ARMONK, N.Y.--(business WIRE)--

undertaking combines IBM Blockchain Platform, Seagate’s advanced “digital fingerprinting” and product tracking to support prove provenance over tough power existence cycle

Seagate know-how plc (STX), an international chief in data storage options, and IBM (IBM) today announced they're working together to in the reduction of product counterfeiting the use of blockchain and security technologies. The assignment, which is designed to aid manufacturers, integrators, and business partners battle counterfeit tough drives, makes use of the IBM Blockchain Platform to authenticate the provenance of disk drive products, bringing a brand new level of multi-layered protection coverage to the information administration business.

This press liberate aspects multimedia. View the total unencumber right here: https://www.businesswire.com/news/domestic/20181108005093/en/

according to the overseas Anti-Counterfeiting Coalition, international alternate in counterfeit and pirated digital products has reached greater than $1.7 trillion in price. To investigate product authenticity, Seagate will update the IBM Blockchain Platform on the IBM Cloud with product authentication statistics based on the Seagate secure™ digital identity (eID) at the point of manufacture. every pleasing identifier (serving as an digital fingerprint) can also be used to examine the identity of a tough drive at any time all the way through its product lifestyles cycle. Seagate’s certified Erase employs cryptographic erasure technology to provide a digital certificates of facts purge, which is electronically signed by using the machine below the Seagate secure public key infrastructure (PKI) and stored on the blockchain for compliance management with emerging international statistics privacy laws.

constructing upon IBM’s blockchain potential and powered through the Linux groundwork’s Hyperledger cloth disbursed ledger framework, the IBM Blockchain Platform is designed to enable network participants to append and consider blockchain information in line with their degree of permissioning. right through a product’s life, know-how companies, provider providers, and conclusion clients should be capable of ascertain the product’s provenance on the blockchain, which provides an immutable checklist of events. this can assist in the reduction of records loss, fraudulent products and warranty expenses, while enhancing product assurance for valued clientele all through deployment.

“Blockchain know-how will also be extremely constructive in confirming provenance and authenticity of assets,” referred to Bruce Anderson, world managing director, electronics business, IBM. “The skill to work with Seagate to mix blockchain with superior cryptographic product identification know-how is what sets this work apart, and alerts blockchain’s potential to reimagine the electronics product existence cycle administration approaches. Counterfeit digital components are a worldwide issue that requires an ecosystem-large effort to tackle.”

The eID and certified Erase capabilities are constructed on the Seagate comfortable technology, that could allow greater levels of believe of product provenance and proof of facts erasure. valued clientele can improvement from knowing that a drive is a real Seagate product and that any facts on it can also be securely erased which could help valued clientele with their efforts to adhere to overseas compliance requisites.

“IBM has a proven history of technology innovation as evidenced with the aid of its market leadership in blockchain know-how for product provenance in numerous industries,” pointed out Mark Re, senior vice chairman and chief technology officer at Seagate. “by means of combining Seagate’s innovations in product protection with IBM’s blockchain knowledge, we want to show that we will help cut back the incidence of product counterfeiting sooner or later.”

As project construction continues in this combined effort to fight international product counterfeiting, Seagate and IBM are looking ahead to that they will extend the enterprise community to consist of participation from provide chain partners.

About IBM Blockchain

IBM is recognized as the leading business blockchain issuer. The business’s research, technical and business specialists have damaged obstacles in transaction processing speeds, developed probably the most superior cryptography to comfortable transactions, and are contributing millions of lines of open supply code to increase blockchain for corporations. IBM is the chief in open-source blockchain options constructed for the commercial enterprise. for the reason that 2016, IBM has labored with a whole bunch of shoppers across monetary functions, provide chain, government, retail, digital rights management and healthcare to put into effect blockchain purposes, and operates a number of networks operating are living and in construction. The cloud-primarily based IBM Blockchain Platform grants the end-to-conclusion capabilities that valued clientele deserve to promptly spark off and successfully enhance, operate, govern and secure their personal company networks. IBM is an early member of Hyperledger, an open supply collaborative effort created to boost pass-trade blockchain technologies. For extra counsel about IBM Blockchain, seek advice from https://www.ibm.com/blockchain/ or observe us on Twitter at @ibmblockchain.

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About Seagate

Seagate creates house for the human experience by means of innovating how information is kept, shared and used. gain knowledge of greater at www.seagate.com. follow Seagate on Twitter, fb, LinkedIn, Spiceworks, YouTube and subscribe to our blog.

© 2018 Seagate technology LLC. All rights reserved. Seagate, Seagate expertise and the Spiral brand are registered trademarks of Seagate know-how LLC in the united states and/or different international locations. Seagate relaxed is both a trademark or registered trademark of Seagate expertise LLC or considered one of its affiliated organizations in the u.s. and/or different nations. All other emblems or registered trademarks are the property of their respective homeowners. Seagate reserves the correct to alternate, devoid of word, product offerings or necessities.

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000-202 Enterprise Storage Technical Support(R) Specialist V1

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000-202 exam Dumps Source : Enterprise Storage Technical Support(R) Specialist V1

Test Code : 000-202
Test Name : Enterprise Storage Technical Support(R) Specialist V1
Vendor Name : IBM
Q&A : 59 Real Questions

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Enterprise Storage Technical Support(R) Specialist V1

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Xenomorph Extends EDM NoSQL Integration with MarkLogic® Database | killexams.com real questions and Pass4sure dumps

NEW YORK & LONDON & SINGAPORE--(BUSINESS WIRE)--Xenomorph, the data and analytics people, today announced that its TimeScape EDM+, Xenomorph’s enterprise data management (EDM) solution for financial markets, has been integrated with the MarkLogic® database, a leading operational and transactional Enterprise NoSQL database.

TimeScape EDM+ offers ready-to-run data integration, cleansing, validation, audit, analysis and distribution for reference, market and derived data. Clients can leverage all of this functionality integrated with the ACID compliant, scale-out, bitemporial capabilities of the MarkLogic database. Both structured and unstructured data stored in the MarkLogic database can be integrated with data and analytics in TimeScape EDM+, enabling business users to access, validate and analyse these combined datasets without any specialist technical knowledge. A user can access data through one family of consistent TimeScape EDM+ interfaces whether their preference is Excel, a programming API like Python, BI platforms like Tableau and Power BI, or mathematical environments like Matlab and R.

“The integration of TimeScape EDM+ with the MarkLogic database continues our efforts to explore the benefits of NoSQL and scale-out SQL technologies applied to EDM in financial markets,” says Chris Budgen, Chief Technical Architect, Xenomorph. “The combination of document and semantic storage within the MarkLogic database is an interesting fit with the TimeScape database model, enabling easy support of new asset classes through schema flexibility combined with easy definition of relationships between different financial objects, such as those from a curve to its underlying data points.”

“The data management and analytical needs of financial markets customers continues to be challenging due to the competitive and regulatory environment. This partnership will help the financial service providers to address those requirements,” said David Ponzini, Senior Vice President, Corporate Development and Marketing, MarkLogic Corporation. “The combination of our enterprise-strength, flexible database platform and TimeScape EDM+ offers a robust, agile, solution that rationalizes data logistics and improves time-to-market deployment.”

“The integration of TimeScape EDM+ with the MarkLogic database extends the ways in which our clients can manage, validate and analyse data,” adds Brian Sentance, CEO, Xenomorph. “Clients face many data management challenges currently, not least of which are the changes introduced by new regulations such as FRTB and IFRS 9. Delivering data management solutions that have the flexibility to instantly integrate new asset classes, new datasets and new types of data into these new requirements is a key to business success in coming years. TimeScape EDM+ with the MarkLogic database offers one way in which these issues can be addressed through the combination of technical scale and business flexibility.”

About Xenomorph

Xenomorph believes that great decisions are made when everyone can easily access and analyze the same high quality data. Based on this belief, we develop software solutions for financial markets that enable both technologists and business users alike to manage, cleanse and analyze more data, more quickly. These solutions include an Enterprise Data Management system, TimeScape EDM+, a cloud-based data publishing service, TimeScape MarketPlace and our underlying data and analytics technology platform, TimeScape. Trading, research, risk, product control, IT and back-office staff use these solutions at investment banks, brokerages, insurers, hedge funds and asset management companies worldwide. Established in 1995, Xenomorph has offices in London, New York and Singapore.

For more information on Xenomorph, our clients, services and solutions, please visit www.xenomorph.com.

Xenomorph® and TimeScape™ are registered trademarks of Xenomorph Software Limited. Other product and company names herein may be trademarks of their respective owners.

About MarkLogic

For over a decade, organizations around the world have come to rely on MarkLogic to power their innovative information applications. As the world’s experts at integrating data from silos, MarkLogic’s operational and transactional Enterprise NoSQL database platform empowers our customers to build next generation applications on a unified, 360-degree view of their data. Headquartered in Silicon Valley, MarkLogic has offices throughout the U.S., Europe, Asia, and Australia.

For more information, please visit www.marklogic.com.

MarkLogic is a registered trademark of MarkLogic Corporation in the United States and/or other countries. All other trademarks mentioned are the property of their respective owners.


Cisco Announces Open Network Environment to Unleash Application-Driven Network Programmability | killexams.com real questions and Pass4sure dumps

Cisco Live! San Diego – June 13, 2012 –  Cisco today introduced a versatile and broad approach to network programmability— Cisco ® Open Network Environment (Cisco ONE) —  aimed at helping  customers  drive the next wave of business innovation through trends such as cloud, mobility, social networking, and video. Cisco ONE enables flexible, application-driven customization of network infrastructures to help realize business objectives such as:  increased service velocity, resource optimization, and faster monetization of new services.

The Cisco Open Network Environment is delivered through a rich set of platform APIs, agents and controllers, and overlay network technologies. Cisco ONE complements current approaches to software-defined networking while encompassing the entire solution stack from transport to management and orchestration.  With Cisco's Open Network Environment customers can harness the intelligent network through programmability and abstraction across multiple layers, offering a choice of protocols, industry standards, and usage-based deployment models. 

As part of the Open Network Environment, Cisco announced One Platform Kit (onePK) which provides application programming interfaces (APIs) for developers across Cisco operating systems: Cisco IOS ®, IOS-XR, and NX-OS. Cisco also announced proof-of-concept controller software and proof-of-concept OpenFlow agent for Software Defined Networking (SDN) research.  Cisco is also enabling scalable virtual overlay networks for multi-tenant cloud deployments with the Cisco Nexus® 1000V virtual switch. New innovations include: OpenStack support, programmability, multi-hypervisor capability, and VXLAN gateway functionality.

Cisco is collaborating on emerging network technologies with industry leaders, academic organizations, and standards bodies to meet their heterogeneous requirements for network programmability. Cisco's Open Network Environment supports a wide variety of deployment models including: 

  • Universities and Research Organizations: Network partitioning or "campus network slicing" using proof-of-concept  controller software and OpenFlow agents for SDN research
  • Hyperscale Data centers: Network flow management with programmatic access via APIs
  • Cloud Providers: Automated provisioning and programmable overlay network for scalable multi-tenancy
  • Service Providers: Programmatic access, policy and analytics to optimize and monetize service delivery
  • Enterprises: Private cloud automation for virtual workloads , including VDI
  • NEWS HIGHLIGHTS

    Cisco Open Network Environment is adopting a multi-pronged product strategy to deliver network programmability.

    One Platform Kit (onePK) Software development kit for customers and partners

  • onePK delivers a rich set of APIs for deep programmatic access across Cisco operating systems and hardware platforms. 
  • Cisco will provide phased support for onePK on IOS, IOS-XR, and NX-OS operating systems and hardware platforms including ASR, ISR G2, CRS, Catalyst ® and Nexus® switches.  Cisco onePK support will be provided initially for the ASR1000 and ISRG2.
  • onePK allows tight integration with software applications for greater visibility, orchestration and control of network infrastructure for rapid service creation and delivery, and automate multiple network tasks and processes.     
  • With onePK, developers can select the language they are familiar with, use existing tools, and easily integrate into existing development environments.    
  • On June 12 Cisco announced its Cloud Connected Solution Partners and customers can also develop their own Cloud Connectors using onePK APIs to enhance and differentiate Cloud Services.  Cloud Connector is a software component residing on ISR G2 and ASR1000 routing platforms to improve availability, performance, and security for cloud services.  
  • Cisco Controller Software and OpenFlow Agents for Software Defined Networking (SDN)

  • Cisco will provide proof-of-concept controller software for SDN and is collaborating with academic and research institutions in these efforts. For example, universities will be able to partition or "slice" their campus network to enable academic research on SDN with consistent policy management.
  • Cisco will provide proof-of-concept OpenFlow v1.0 agents on the Cisco Catalyst 3750-X and 3560-X Series Switches.
  • Cisco is also leading several workgroups at the Open Network Foundation.
  • Virtual Overlay Networks extend support for OpenStack, multiple hypervisors,  and VXLAN gateway functionality for consistency across physical and virtual networks

  • Cisco will expand virtual overlay network solutions for scalable, multi-tenant cloud infrastructures and Infrastructure-as-a-Service (IAAS) through enhanced capabilities of its Nexus 1000V portfolio with support for open-source hypervisors.  This adds to existing support for VMware and Microsoft hypervisors.
  • Cisco will also provide the Virtual Extensible Local Area Network (VXLAN)  gateway to bridge traditional VLAN-based physical network environments with VXLAN-based virtual overlay networks.
  • Cisco will extend vPath technology implemented on Nexus 1000V to support virtual services on VXLAN-based overlay networks, including VSG and ASA1000V.  Cisco vPath will steer or "chain" traffic across VSG and ASA1000V through pre-defined policies to simplify operational workflows on a per-tenant basis.
  • Cisco will offer standards-based OpenStack Quantum Plug-in and REST APIs for the Cisco Nexus 1000V virtual switch to rapidly orchestrate multi-tenant cloud infrastructures.
  • Availability

    Beta trials and phased general availability are scheduled to begin the last quarter of 2012.

    SUPPORTING QUOTES

    Cisco:  Padmasree Warrior, CTO, SVP Engineering, GM Enterprise Business   "The Cisco Open Network Environment is key to our vision of an intelligent network that is more open, programmable, and application-aware—  a vision in which the network is transformed into a more effective business enabler," said Padmasree Warrior, Cisco chief technical officer, senior vice president of Engineering, and general manager of Enterprise Business. "With Cisco's Open Network Environment, customers get a comprehensive and robust set of capabilities to address emerging enterprise and service provider requirements to harness network intelligence and provide value for new business platforms in an evolutionary manner."  

    Cisco:  David Yen, SVP and GM of the Data Center Technology Group "Today's announcement is a milestone event that signals Cisco's leadership, contribution and dedication to open networking," said David Yen, senior vice president and general manager of the Data Center Technology Group at Cisco. "Using the Cisco ONE Platform Kit, developers will have access to over 20 years of intelligent networking software produced by Cisco's top R&D talent.  Together, we'll usher in a new era of programmability through transparent and granular interaction between applications and network infrastructure."

    CTERA: Liran Eshel, chief executive officer:  "By leveraging Cisco ISR G2 as a platform, CTERA and Cisco allow customers to bridge the gap between local and cloud storage by combining LAN speed user experience with the resilience of the cloud," said Liran Eshel, chief executive officer at CTERA. "Utilizing the ISR's network capabilities, the consolidated solution can effectively manage cloud storage traffic in an optimized way. The integration, which was rapidly implemented as a connector using Cisco's Open Network Environment and the onePK API, allowed us to deliver the world's first cloud-storage-enabled router with intelligent QoS and superior user experience."

    MLB.com:  Kushal Patel, VP of Networking  "Baseball has dedicated and passionate fans who have high expectations for the quality and value of their interactive experiences, which demands a reliable network," said Kushal Patel, vice president of networking at MLB.com.  "We like the strategic direction Cisco is taking with its Open Network Environment, which provides a platform to more closely integrate customer-built software applications with the network."

    Indiana University:  Brad Wheeler, vice president of information technology and CIO "Indiana University is delighted to have Cisco as the newest member of InCNTRE's SDN Interoperability Lab," said Brad Wheeler, Indiana University vice president of information technology and CIO.  "This collaboration, along with Cisco's vision for dynamic and multi-dimensional networks – the Open Network Environment-  will help drive innovation to advance next generation networks."

    University of Wisconsin Madison:  Bruce Maas, Vice Provost for Information Technology and CIO  "Our IT network engineers and computer science department researchers have been collaborating with Cisco to develop and advance SDN solutions that will help move SDN from the R&D lab to mainstream business and academic production environments," said  Bruce Maas, vice provost for information technology and CIO at University of Wisconsin Madison. We believe that programmable networks—providing program interfaces to devices and software that take advantage of network intelligence-will enable new research innovations that will advance science and boost economic development."  

    HCL Technologies LTD:  Prabhuraman Sayanam, Vice President   "As a leading global IT and software development company, HCL Technologies is always interested in taking advantage of network innovations," said Prabhuraman Sayanam, vice president at HCL Technologies LTD. "As one of the first developer partners for Cisco's onePK, we have already begun working with the application programming interface.  We're looking forward to using Cisco's Open Network Environment and onePK to create innovative new software applications to serve our joint customers' needs."

    SUPPORTING RESOURCES

    About Cisco

    Cisco (NASDAQ: CSCO) is the worldwide leader in networking that transforms how people connect, communicate and collaborate.  Information about Cisco can be found at http://www.cisco.com. For ongoing news, please go to http://newsroom.cisco.com.

    # # #

     Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.

    # # #


    Fact Sheet: Unleashing the Power of Artificial Intelligence in Healthcare with Intel Technologies | killexams.com real questions and Pass4sure dumps

    Artificial Intelligence: Machine Learning, Deep Learning and More

    Artificial intelligence (AI) is now all around us, as machines increasingly gain the ability to sense, learn, reason, act and adapt in the real world. Much of the AI spotlight is focused on deep learning, a branch of machine learning that uses neural networks to comprehend complex and unstructured data (training) and use that understanding to classify, recognize and process new inputs (inference). Deep learning is delivering breakthroughs in areas like image recognition, speech recognition, natural language processing and other complex tasks.

    Processing Deep Learning Workloads in Healthcare

    Deep learning workloads require a tremendous amount of computational power to run complex mathematical algorithms and process huge amounts of data. While GPUs have been used for some deep learning training applications, they don’t necessarily have a performance edge for deep learning inference. In healthcare in particular, there are many examples of applications that run better on CPUs than GPUs.

    That’s why for healthcare organizations running AI workloads, Intel® Xeon® Scalable processors provide an ideal computational foundation. Intel Xeon Scalable processors are optimized for AI, scale up quickly and seamlessly for 2.1x faster deep learning performance over previous generations1, and offer server-class reliability and workload flexibility1.

    Versatility

    Many organizations that are implementing AI don’t need to train models 24/7. Those that do need to train models around the clock require a dedicated accelerator, but the majority of organizations simply need to train and then deploy a model. If an organization invests thousands of dollars in building a dedicated acceleration stream, it can’t do anything else with that infrastructure beyond training – it will just sit idle.

    Intel Xeon Scalable processors are more agile. They are designed to flex with business needs to support the workload needs of the moment, allowing organizations to leverage their data center infrastructure for AI applications and a wide range of other workloads.

    Increased Utilization

    Most organizations have at least 35 percent free utilization of processing capacity, if not more. This means they have could be obtaining better ROI from their infrastructure investments. With Intel Xeon Scalable processors, they can leverage this unused capacity to implement AI while still meeting the needs of other applications.

    Technical Advantages

    GPUs are often leveraged as an accelerator, but they have limitations when it comes to building models to tackle healthcare issues. These limitations begin with memory. GPUs are limited to only 12 to 16 gigabytes of memory on the chip itself, and that restricts the size and capabilities of the model that can be built. This memory limitation is a particular problem in healthcare AI work, which often involves building massive models – for example, to support a giant CT scan.

    For today’s AI networks deployed on a standard GPU, the image size for a scan that can be developed is usually 256 x 256 pixels. At the most, that image could be 1000 x 1000 pixels, but that’s pushing it. If clinicians have a 4K image where they actually need all of those pixels to make an analysis — for example, to detect a tumor in a tiny portion of the image — then they have a problem. When they scale that 4K image down to 256 x 256 pixels, they lose all of the fine temporal resolution.

    The same model can be built with Intel Xeon Scalable processors without limiting the size and resolution because the Intel Xeon Scalable family offers a terabit of on-load memory. Intel Xeon processors may process the image more slowly than a GPU, but when the resolution is needed for medical imaging, Intel Xeon processors deliver.

    A Processor Designed for Deep Learning

    Moving forward, Intel has also developed the Intel® Nervana™ Neural Network Processor (NNP), the world’s first processor specifically designed from the ground up for deep learning. The Intel Nervana NNP promises to further enhance medical imaging and other healthcare applications.

    Using the Intel Nervana platform, healthcare organizations can develop entirely new classes of AI applications that maximize the amount of data processed and lead to greater insights. For example, AI will allow for earlier diagnosis and greater accuracy, helping make the impossible possible by advancing research on cancer, Parkinson’s disease and other brain disorders2.

    The Intel Advantage for AI

    Intel has 50 years of experience in helping its customers make their data valuable. Today, Intel is using that experience to help healthcare organizations address every aspect of their workflows through the successful implementation of AI.

    From hardware to software and data science, Intel brings its full suite of products and expertise to AI. Intel has the technical expertise not only to help organizations build the right infrastructure – from data to storage and network – but also has the data scientists to understand and model data and the application developers to help make the data useful. In short, Intel’s expertise to implement AI goes well beyond the CPU.

    Driving the Age of AI

    At Intel, we recognize the age of AI is upon us, and we know our technologies will help drive the future of AI. We are also motivated by a desire to use our technology to help advance society and tackle the world’s big challenges, so we’re particularly excited about our work in healthcare. We want to help channel AI for societal good – we call it AI with a purpose.

    With these thoughts in mind, we’re pleased to be engaged with healthcare providers and researchers. We know that our collective work is helping move the needle – with even more promise and unlimited possibilities for the future.

    Benchmark results were obtained prior to implementation of recent software patches and firmware updates intended to address exploits referred to as “Spectre” and “Meltdown”.  Implementation of these updates may make these results inapplicable to your device or system.

    Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.

    Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

    1INFERENCE using FP32 Batch Size Caffe GoogleNet v1 256  AlexNet 256.

    Performance estimates were obtained prior to implementation of recent software patches and firmware updates intended to address exploits referred to as “Spectre” and “Meltdown.”  Implementation of these updates may make these results inapplicable to your device or system. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.  Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions.  Any change to any of those factors may cause the results to vary.  You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit http://www.intel.com/performance  Source: Intel measured as of June 2017 Optimization Notice: Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

    Configurations for Inference throughput

    Processor :2 socket Intel(R) Xeon(R) Platinum 8180 CPU @ 2.50GHz / 28 cores HT ON , Turbo ON Total Memory 376.46GB (12slots / 32 GB / 2666 MHz).CentOS Linux-7.3.1611-Core , SSD sda RS3WC080 HDD 744.1GB,sdb RS3WC080 HDD 1.5TB,sdc RS3WC080 HDD 5.5TB , Deep Learning Framework caffe version: f6d01efbe93f70726ea3796a4b89c612365a6341 Topology :googlenet_v1 BIOS:SE5C620.86B.00.01.0004.071220170215 MKLDNN: version: ae00102be506ed0fe2099c6557df2aa88ad57ec1 NoDataLayer. Measured: 1190 imgs/sec vs Platform: 2S Intel® Xeon® CPU E5-2699 v3 @ 2.30GHz (18 cores), HT enabled, turbo disabled, scaling governor set to “performance” via intel_pstate driver, 256GB DDR4-2133 ECC RAM. CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.el7.x86_64. OS drive: Seagate* Enterprise ST2000NX0253 2 TB 2.5″ Internal Hard Drive. Performance measured with: Environment variables: KMP_AFFINITY=’granularity=fine, compact,1,0‘, OMP_NUM_THREADS=36, CPU Freq set with cpupower frequency-set -d 2.3G -u 2.3G -g performance. Deep Learning Frameworks: Intel Caffe: (http://github.com/intel/caffe/), revision b0ef3236528a2c7d2988f249d347d5fdae831236. Inference measured with “caffe time –forward_only” command, training measured with “caffe time” command. For “ConvNet” topologies, dummy dataset was used. For other topologies, data was stored on local storage and cached in memory before training. Topology specs from https://github.com/intel/caffe/tree/master/models/intel_optimized_models (GoogLeNet, AlexNet, and ResNet-50), https://github.com/intel/caffe/tree/master/models/default_vgg_19 (VGG-19), and https://github.com/soumith/convnet-benchmarks/tree/master/caffe/imagenet_winners (ConvNet benchmarks; files were updated to use newer Caffe prototxt format but are functionally equivalent). GCC 4.8.5, MKLML version 2017.0.2.20170110. BVLC-Caffe: https://github.com/BVLC/caffe, Inference & Training measured with “caffe time” command.  For “ConvNet” topologies, dummy dataset was used. For other topologies, data was st ored on local storage and cached in memory before training  BVLC Caffe

    Configuration for training throughput:

    Processor :2 socket Intel(R) Xeon(R) Platinum 8180 CPU @ 2.50GHz / 28 cores HT ON , Turbo ON Total Memory 376.28GB (12slots / 32 GB / 2666 MHz).CentOS Linux-7.3.1611-Core , SSD sda RS3WC080 HDD 744.1GB,sdb RS3WC080 HDD 1.5TB,sdc RS3WC080 HDD 5.5TB , Deep Learning Framework caffe version: f6d01efbe93f70726ea3796a4b89c612365a6341 Topology :alexnet BIOS:SE5C620.86B.00.01.0009.101920170742 MKLDNN: version: ae00102be506ed0fe2099c6557df2aa88ad57ec1 NoDataLayer. Measured: 1023 imgs/sec vs Platform: 2S Intel® Xeon® CPU E5-2699 v3 @ 2.30GHz (18 cores), HT enabled, turbo disabled, scaling governor set to “performance” via intel_pstate driver, 256GB DDR4-2133 ECC RAM. CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.el7.x86_64. OS drive: Seagate* Enterprise ST2000NX0253 2 TB 2.5″ Internal Hard Drive. Performance measured with: Environment variables: KMP_AFFINITY=’granularity=fine, compact,1,0‘, OMP_NUM_THREADS=36, CPU Freq set with cpupower frequency-set -d 2.3G -u 2.3G -g performance. Deep Learning Frameworks: Intel Caffe: (http://github.com/intel/caffe/), revision b0ef3236528a2c7d2988f249d347d5fdae831236. Inference measured with “caffe time –forward_only” command, training measured with “caffe time” command. For “ConvNet” topologies, dummy dataset was used. For other topologies, data was stored on local storage and cached in memory before training. Topology specs from https://github.com/intel/caffe/tree/master/models/intel_optimized_models (GoogLeNet, AlexNet, and ResNet-50), https://github.com/intel/caffe/tree/master/models/default_vgg_19 (VGG-19), and https://github.com/soumith/convnet-benchmarks/tree/master/caffe/imagenet_winners (ConvNet benchmarks; files were updated to use newer Caffe prototxt format but are functionally equivalent). GCC 4.8.5, MKLML version 2017.0.2.20170110. BVLC-Caffe: https://github.com/BVLC/caffe, Inference & Training measured with “caffe time” command.  For “ConvNet” topologies, dummy dataset was used. For other topologies, data was st ored on local storage and cached in memory before training  BVLC Caffe (http://github.com/BVLC/caffe), revision 91b09280f5233cafc62954c98ce8bc4c204e7475 (commit date 5/14/2017). BLAS: atlas ver. 3.10.1.

    2Intel editorial by Brian Krzanich, chief executive officer of Intel Corporation, “Announcing Industry’s First Neural Network Processor,” October 17, 2017.

    Intel, the Intel logo, Xeon, and Nervana are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

    Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. Check with your system manufacturer or retailer or learn more at www.intel.com.



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