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C4040-108 Power Systems Enterprise Technical Support for AIX and Linux -v2

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C4040-108 exam Dumps Source : Power Systems Enterprise Technical Support for AIX and Linux -v2

Test Code : C4040-108
Test denomination : Power Systems Enterprise Technical Support for AIX and Linux -v2
Vendor denomination : IBM
: 130 existent Questions

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IBM Power Systems Enterprise Technical

Quantum Computing for trade Market 2019 - 2025 : change Overview, applications analysis and Key avid gamers - Airbus, Anyon techniques, Google, IBM | killexams.com existent Questions and Pass4sure dumps

Qyresearchreports consist of unique market research record "international Quantum Computing for enterprise Market measurement, popularity and Forecast 2019-2025" to its sizable collection of research experiences.

This press release was orginally distributed by using SBWire

big apple, the sizable apple -- (SBWIRE) -- 02/sixteen/2019 -- Quantum computing is the utilization of the concepts of quantum mechanics to achieve calculations and clear up problems. using the pleasing phenomena of particular person subatomic particles as compute elements, quantum computer systems maintain the abilities to instantly resolve problems which are not workable to cipher in time frames that are advantageous to people. through the spend of superposition and entanglement, two principles of quantum mechanics, quantum computer systems could breathe able to function calculations exponentially faster than classical, transistor-based computer systems, opening up a brand unique paradigm of high-efficiency computing power.

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pushed by way of rising incidences of cybercrime and transforming into adoption of quantum computing expertise in the defense, banking & finance, healthcare & prescription drugs, and chemical compounds, thequantum computing marketis more likely to witness a elevated growth within the coming years.In 2018, the international Quantum Computing for commercial enterprise market measurement turned into xx million US$ and it's expected to attain xx million US$ with the aid of the discontinue of 2025, with a CAGR of xx% every over 2019-2025.

This report makes a speciality of the global Quantum Computing for commercial enterprise fame, future forecast, growth chance, key market and key players. The resolve ambitions are to latest the Quantum Computing for trade construction in u.s., Europe and China.

the key avid gamers lined in this study1QB tips TechnologiesAirbusAnyon SystemsCambridge Quantum ComputingD-Wave SystemsGoogleMicrosoftIBMIntelQC WareQuantumRigetti ComputingStrangeworksZapata Computing

View plenary TOC : https://www.qyresearchreports.com/document/international-quantum-computing-for-commercial enterprise-market-size-repute-and-forecast-2019-2025.htm/toc

Market evaluation via product typeHardwareSoftware

Market analysis via marketBFSITelecommunications and ITRetail and E-CommerceGovernment and DefenseHealthcareManufacturingEnergy and UtilitiesConstruction and EngineeringOthers

Market analysis by using RegionUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South america

The study aims of this record are:to resolve world Quantum Computing for trade popularity, future forecast, extend possibility, key market and key players.To latest the Quantum Computing for trade construction in u.s., Europe and China.To strategically profile the key avid gamers and comprehensively resolve their development way and techniques.To define, relate and forecast the market by means of product classification, market and key regions.

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in this examine, the years regarded to rate the market size of Quantum Computing for trade are as follows:history yr: 2018-2019Base yr: 2018Estimated year: 2019Forecast year 2019 to 2025For the statistics tips by region, enterprise, classification and utility, 2018 is regarded because the ground year. on every occasion statistics suggestions changed into unavailable for the bottom year, the prior 12 months has been considered.

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IBM Mashes Up PowerAI And Watson laptop gaining knowledge of Stacks | killexams.com existent Questions and Pass4sure dumps

earlier during this decade, when the hyperscalers and the teachers that elope with them had been edifice computer gaining knowledge of frameworks to transpose every kinds of facts from one layout to one other – speech to text, textual content to speech, image to textual content, video to text, and the infatuation – they had been doing so now not just for scientific curiosity. They were making an attempt to solve actual enterprise complications and addressing the needs of shoppers the usage of their application.

at the identical time, IBM was making an attempt to resolve a discrete problem, naming growing a query-reply gadget that would anthropomorphize the hunt engine. This effort changed into called venture Blue J inner of IBM (now not to breathe confused with the open supply BlueJ built-in edifice atmosphere for Java), became wrapped up into a utility stack called DeepQA through IBM. It become this DeepQA stack, which changed into in line with the open source Hadoop unstructured information storage and analytics engine that got here out of Yahoo and a further challenge referred to as Apache UIMA, which predates Hadoop by a brace of years and which become designed by IBM database experts within the early 2000s to fashion unstructured information infatuation text, audio, and video. This profound QA stack changed into embedded in the Watson QA rig that became designed to play Jeopardy towards humans, which they spoke of in component here eight years ago. The Apache UIMA stack changed into the essential thing piece of the WatsonQA rig that did natural language processing that parsed out the speech in a Jeopardy answer, transformed it to textual content, and fed it into the statistical algorithms to create the Jeopardy question.

Watson received the contest in opposition t human Jeopardy champs Brad Rutter and Ken Jennings, and a company – which invoked IBM founder Thomas Watson and his admonition to “consider” as well as medical professional Watson, the sidekick of fictional supersleuth Sherlock Holmes – became born.

in preference to contour Watson a product for sale, IBM provided it as a service, and pumped the QA gadget filled with statistics to buy on the healthcare, fiscal services, energy, promoting and media, and training industries. This became, possibly, a mistake, but at the time, in the wake of the Jeopardy championship, it felt infatuation every thing become moving to the cloud and that the SaaS mannequin changed into the right way to head. IBM certainly not really talked in first-rate component about how DeepQA turned into constructed, and it has in a similar style now not been selected about how this Watson stack has changed over time – eight years is a long time within the computer getting to know house.  It isn't clear if Watson is cloth to IBM’s revenues, however what is discrete is that desktop discovering is strategic for its methods, application, and features companies.

So it truly is why IBM is ultimately bringing together every of its laptop getting to know tools and inserting them beneath the Watson company and, very importantly, making the Watson stack available for purchase so it can breathe elope on private datacenters and in other public clouds besides the one which IBM runs. To breathe specific, the Watson capabilities as smartly because the PowerAI computer researching training frameworks and adjunct tools tuned up to elope on clusters of IBM’s power techniques machines, are being introduced collectively, and they'll breathe Put into Kubernetes containers and dispensed to elope on the IBM Cloud deepest Kubernetes stack, which is attainable on X86 techniques as well as IBM’s own power iron, in virtualized or bare metal modes. It is this encapsulation of this unique and finished Watson stack with IBM Cloud private stack that makes it transportable throughout inner most datacenters and other clouds.

by the way, as piece of the mashup of these tools, the PowerAI stack that makes a speciality of profound learning, GPU-accelerated laptop getting to know, and scaling and allotted computing for AI, is being made a core piece of the Watson Studio and Watson computing device discovering (Watson ML) application equipment. This built-in utility suite offers commercial enterprise statistics scientists an end-to-end developer tools. Watson Studio is an integrated development environment in keeping with Jupyter notebooks and R Studio. Watson ML is a set of desktop and profound discovering libraries and model and data administration. Watson OpenScale is AI mannequin monitoring and prejudice and equity detection. The software formerly referred to as PowerAI and PowerAI enterprise will continue to breathe developed by the Cognitive systems division. The Watson division, in case you are not prevalent with IBM’s organizational chart, is piece of its Cognitive options community, which comprises databases, analytics tools, transaction processing middleware, and a variety of functions allotted both on premises or as a provider on the IBM Cloud.

it's dubious how this Watson stack may change within the wake of IBM closing the red Hat acquisition, which may still turn up before the conclusion of the 12 months. however it is reasonable to assume that IBM will tune up every of this software to elope on red Hat commercial enterprise Linux and its own KVM digital machines and OpenShift implementation of Kubernetes after which propel truly tough.

it's doubtless helpful to overview what PowerAI is every about and then divulge how it is being melded into the Watson stack. earlier than the mixing and the identify adjustments (greater on that in a 2nd), here is what the PowerAI stack gave the imprint of:

based on Bob Picciano, senior vp of Cognitive methods at IBM, there are more than 600 trade shoppers which maintain deployed PowerAI tools to elope computer learning frameworks on its energy techniques iron, and obviously GPU-accelerated systems just infatuation the vigor AC922 rig it really is on the coronary heart of the “Summit” supercomputer at alrightRidge countrywide Laboratory and the sibling “Sierra” supercomputer at Lawrence Livermore countrywide Laboratory are the main IBM machines people are the spend of to attain AI work. this is a gorgeous splendid nascence for a nascent trade and a platform that is comparatively unique to the AI crowd, but perhaps not so discrete for enterprise valued clientele that maintain used vigor iron in their database and utility tiers for a long time.

The initial PowerAI code from two years ago every started with models of the TensorFlow, Caffe, PyTorch, and Chainer machine studying frameworks that massive Blue tuned up for its power processors. The huge innovation with PowerAI is what is referred to as huge model support, which makes spend of the coherency between Nvidia “Pascal” and “Volta” Tesla GPU accelerators and Power8 and Power9 processors in the IBM vigour methods servers – enabled through NVLink ports on the energy processors and tweaks to the Linux kernel – to permit tons bigger neural community working towards models to breathe loaded into the system. the entire PowerAI code is open source and disbursed as code or binaries, and to date only on vigor processors. (We suspect IBM will proceed agnostic on this finally, due to the fact Watson tools ought to elope on the sizable public clouds, which with the exception now of the IBM Cloud, will not maintain vigor programs available. (Nimbix, a professional in HPC and AI and a smaller public cloud, does tender power iron and supports PowerAI, incidentally.)

below this, IBM has created a basis called PowerAI commercial enterprise, and this is now not open source and it is just accessible as a piece of a subscription. PowerAI enterprise provides Message Passing Interface (MPI) extensions to the computer researching frameworks – what IBM calls distributed profound learning – in addition to cluster virtualization and computerized hyper-parameter optimization innovations, embedded in its Spectrum Conductor for Spark (yes, that Spark, the in-memory processing framework) tool. IBM has also delivered what it calls the profound researching repercussion module, which contains rig for managing information (equivalent to ETL extraction and visualization of datasets) and managing neural community fashions, including wizards that indicate the way to most useful spend records and models. On precise of this stack, IBM’s first industrial AI utility that it is promoting is called PowerAI vision, which will also breathe used to label image and video data for training models and instantly train fashions (or augment latest fashions supplied with the license).

So in any case of the changes, here's what the brand unique Watson stack looks like:

As that you can see, the Watson computing device gaining knowledge of stack helps much more desktop researching frameworks, exceptionally the SnapML framework that came out of IBM’s research lab in Zurich that is offering a significant efficiency expertise on vigor iron compared to running frameworks infatuation Google’s TensorFlow. here's definitely a greater comprehensive stack for laptop gaining knowledge of, including Watson Studio for setting up fashions, the apposite Watson desktop researching stack for training and deploying models in construction inference, and now Watson OpenScale (it's mislabeled within the chart) to monitor and support extend the accuracy of fashions according to how they're running in the bailiwick as they infer issues.

For the second, there is no trade in PowerAI enterprise licenses and pricing throughout the first quarter, but after that PowerAI enterprise can breathe introduced into the Watson stack to add the allotted GPU computing device researching practicing and inference capabilities atop vigor iron to that stack. So Watson, which began out on Power7 machines taking piece in Jeopardy, is coming again domestic to Power9 with creation machine discovering applications within the commercial enterprise. They aren't unavoidable if IBM will tender similar disbursed laptop gaining knowledge of capabilities on non-vigour machines, nonetheless it seems probably it really is shoppers necessity to elope the Watson stack on premises or in a public cloud, it'll necessity to. vigor methods will ought to stand on its own deserves if that comes to pass, and given the benefits that Power9 chips maintain with esteem to compute, I/O and reminiscence bandwidth, and coherent reminiscence throughout CPUs and GPUs, that may additionally not breathe as a much deal of an maintain an repercussion on as they might suppose. The X86 structure will must win by itself deserves, too.


big Blue ultimately Brings IBM i To Its personal Public Cloud | killexams.com existent Questions and Pass4sure dumps

February 18, 2019 Timothy Prickett Morgan

well, that took quite a very long time. After what appears infatuation eons of nudging and cajoling and pushing, IBM is making the IBM i working gadget and its built-in database management system, as well because the application edifice tools and other systems software, available on its self-branded IBM Cloud public cloud.

large Blue previewed its plans to convey both IBM i and AIX to the IBM Cloud at its annual deem convention in Las Vegas, on scale out machines aimed at small and medium organizations in addition to to shoppers who necessity to elope clusters of machines, and on scale up techniques which maintain NUMA electronics that extra tightly cluster them into shared reminiscence programs.

There are a lot of questions on how this can breathe every breathe packaged up and bought below the unwieldy denomination of the IBM power methods virtual Server on IBM Cloud. however they will order you every that they comprehend and fill you in as they learn more.

The energy programs slices served up on the IBM Cloud working IBM i and AIX had been first rolled out for early entry to selected purchasers to examine the APIs for the control airplane, which they presuppose is in accordance with the PowerVC implementation of OpenStack. The prefatory customers who're kicking the tires maintain been imagined to most effective installation development and examine environments or protype code, on no account the repose running in creation. This became absolutely intended to breathe a proof of thought setup at this element, as you can espy from the rollout roadmap:

The alpha and beta checking out for the vigour techniques slices on the IBM Cloud is on a gorgeous snappy track, running from February into March, as you could see, and universal availability is slated for some time in March. likely someplace against the conclusion, we'd bet. IBM is firstly making the power puffs – what else are you able to denomination them as shorthand? – purchasable within the early entry assessments in its US East datacenter within the Washington DC metro enviornment; it is not clear what iron changed into used. The alpha and beta trying out is being accomplished on a set of power S922 scale out machines, which are in accordance with a pair of Power9 processors and which frankly is a huge container for many IBM i shops every by way of itself, as well as on energy E880 scale up systems, that are being scaled up to sixteen sockets and which spend the older Power8 processors. every the machines spend ten-core processors, which might breathe the candy spot between performance, chip yield, and value within the vigor methods line. The Power9 chips in the vigor S922 servers elope at 2.eight GHz and might rapid as much as three.9 GHz if there is satisfactory thermal headroom; these chips survey infatuation they may also maintain 4 threads per core (also referred to as SMT4), which is not as a whole lot threading because the ordinary Power8 chip presents in scale out machines with SMT8 threading (eight threads per core) and twice as many cores per die (24 cores versus 12 cores). Anyway, it looks infatuation the vigor S922 is being geared up with the ponderous cores, no longer the mild ones. The Power8 chips within the power E880 are operating at four.19 GHz and also sheperd SMT8 threading (there become simplest a ponderous core right here); every sixteen cores are populated with ten-core Power8 chips, with a maximum scalability of 160 cores in a single logical partition on the IBM Cloud.

each of the machines are being configured with 32 GB reminiscence sticks, which might breathe again at the candy spot between ability, bandwidth, and expense per bit, and IBM is allowing customers to configure the machines with anywhere from eight GB to sixty four GB of main reminiscence per core. in case you necessity denser reminiscence to bolster the skill, you can double it up the usage of 64 GB reminiscence sticks, and then double it up once more to 128 GB sticks, but this can breathe a customized order and it will cost significantly extra, they believe. IBM is providing disk and glint storage as much as 2 TB for local storage on the circumstances and growing to breathe at 10 GB increments. exterior storage for purposes and databases is on Storwize V7000 disk arrays in the racks near this power iron, and are linked to the servers by Fibre Channel switches. purchasers can share machines or hire committed iron, reckoning on their proclivities for absolute safety and dealing with strident neighbors on the virtual infrastructure.

Steve Sibley vp and offering manager for the Cognitive programs division at IBM, gave me a sneak peek at the future vigour cloud slices on a visit to the Austin, Texas labs remaining week, forward of the suppose convention. right here is how the elements and services of the logical partitions on the IBM Cloud are shaping up:

Sibley informed us that the pricing turned into no longer yet set in stone for the digital power ability on the IBM Cloud, but when pressed about evaluating the cost between purchasing rig and renting it on the cloud, Sibley estimated that for a given IBM i or AIX workload working on in a similar way configured hardware and logical partitions, running the cloud illustration would can freight about 30 p.c to forty % greater on the instance operating plenary out over three years in comparison to buying the iron and the spend of it for 3 years. The change, of route, is that IBM is managing the energy programs and paying for the datacenter, the electricity, the cooling, the protection, patch updates on firmware, the setting up of the PowerVM hypervisor and its update, and the installation of the IBM i or AIX operating system. When corporations buy their own vigor techniques machines, until they Get augmented capabilities from IBM or a trade partner, it’s every on them. Pricing for the virtual machines, the reminiscence, the storage, and the operating system and databases are every set per hour.

incidentally, it is not clear what IBM i and AIX releases are supported on the machines, but presumably the latest IBM i 7.2 and IBM i 7.three releases are supported on the IBM Cloud in addition to AIX 7.1 and AIX 7.2, that are additionally existing. Linux isn't outlined as a supported platform, however SAP HANA workloads are and that means that there is a Linux – and mainly crimson Hat commercial enterprise Linux – below it since HANA in-memory databases don't seem to breathe supported on any Unix variant, or IBM i for that count.

with the aid of March, IBM plans to maintain the IBM i and AIX circumstances available in production in its US East (Washington DC) and US South (Dallas) regions, and in the 2nd quarter IBM plans to roll it in its European datacenter in its ecu critical (Frankfurt) place, with different datacenters popping out as require pulls and IBM pushes.

we are able to buy a survey on the pricing as quickly as it becomes available and espy how it every stacks up, and Get the ideas of different IBM i cloud avid gamers about what massive Blue is doing.

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Skytap Says It’s constructing a ‘genuine Cloud’ offering for IBM i

a better fashion to skin The IBM i Cloud Cat

What Cloud providers necessity to attain To attract IBM i

Google near Launching IBM i Cloud carrier, Will Says

Is The ‘Golden Age’ of Computing Leaving IBM i in the back of?\

Ensono Emerges With IBM i Cloud providing

Clouds develop, however Can IBM i follow?

IBM eventually receives Power8 Machines On SoftLayer Cloud

All signals aspect To The Cloud, however Will IBM i bevy follow?

mobile Apps And The IBM i worry manufacturing unit

Infor Readies IBM i Cloud

IBM i Finds a status within the Cloud

energy programs Coming To The SoftLayer Cloud

IBM Brags About Its Cloud Prowess thanks to SoftLayer

IBM Buys SoftLayer To construct Out hosting, Cloud organizations

Two put a question to TPM Questions: actual IBM i Clouds And Apple buying IBM i

IBM i 7.1 Tech Refresh sports live Partition Mobility

AWS/four hundred: Amazon Builds An AS/four hundred-oid Cloud

I, Cloud-i-us

wanted: Cloud-i i-nfrastructure

The X aspect: Head in the Clouds


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Microsoft edifice Up Hyper-V Management Support for Linux and Unix Servers | killexams.com existent questions and Pass4sure dumps

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Microsoft edifice Up Hyper-V Management Support for Linux and Unix Servers
  • By Kurt Mackie
  • 06/14/2013
  • Microsoft this month talked about how its latest Hyper-V and System focus 2012 R2 improvements can succor with the management of Linux and Unix servers.

    Michael Kelley, a lead program manager for Microsoft's Open Source Technology Center, described a scenario that once might maintain seemed blasphemous at Redmond. He said that managing the private cloud was not just limited to Windows, and that Microsoft was working to provide the tools to support heterogeneous datacenters, including those running Linux and Unix.

    "That's the reality of what's out there in the world," Kelley said, in a June 3 TechEd session.

    He explained that Microsoft has been adopting this approach for about the last four or five years. Microsoft has a big market share of Windows Server on x86 hardware, but 25 percent of System focus Operations Manager installations are used for managing Linux and Unix alongside Windows Server. "We are going to compete with the heterogeneous cloud," he said.

    Microsoft products currently support six server-based Linux distros, including Red Hat Enterprise Linux, SUSE Linux Enterprise Server, CentOS, Ubuntu Server, Debian and Oracle. On the Unix side, Microsoft supports IBM AIX, HP-UX and Oracle Solaris. The support falls across several Microsoft products, including System focus Operations Manager, Configuration Manager, Endpoint Protection, and Virtual Machine Manager, as well as Hyper-V and Windows Azure Infrastructure Services, with some exceptions (see table).

    [Click on image for larger view.] motif 1.Microsoft support for Linux and Unix server operating systems. Source: Microsoft TechEd, June 3, 2013.

    Microsoft's support plans are more limited on the Unix side, Kelley said. He added that Microsoft has "no plans, really, to buy the Unix operating systems into that plenary private cloud environment."

    Improvements for Linux and UnixThe improvements that Microsoft is bringing with the unique Hyper-V in Windows Server 2012 R2 also apply to managing Linux and Unix systems. Examples offered by Kelley included faster live migrations and network virtualization benefits. He also described dynamic remembrance support, the ability to dynamically resize VHDs and VHDXs, a unique two-dimensional synthetic video driver and the ability to spend replicas of Linux-based virtual machines (VMs) for catastrophe recovery. A different TechEd session, focused on unique Hyper-V improvements, even suggested that "Microsoft now has the best backup myth for Linux."

    The dynamic remembrance capability can breathe used to scale a workload on a Web server. As a workload increases, remembrance gets dynamically added to the VM. As a workload drops, the hard-added remembrance remains the same.

    The ability to dynamically resize a VHD is the ability to expand or shrink it on the fly. Users can proceed into the Hyper-V console and select a particular VM to change its storage size.

    Disaster recovery support is enabled via Hyper-V replica, a feature of Windows Server 2012 and Windows Azure. With the Hyper-V replica scenario, there is a primary site and recovery site, as well as a channel between them to support failover operations.

    For more on Microsoft's System focus product capabilities that support Linux and Unix, espy the following chart presented by Kelley at his TechEd session.

    [Click on image for larger view.] motif 1. System focus management support for Linux and Unix. Source: Microsoft TechEd, June 3, 2013.

    System focus has access to gallery of prebuilt OS templates to elect from, but the Linux distros located in the gallery are created and maintained by the distro providers, who also provide technical support for the OSes. Technical support on running Linux using Hyper-V is provided by either by Microsoft or by the Linux vendor.

    Microsoft adds Linux support through its "Linux integration services." The Linux integration services are typically built into the OS, or are offered as a download from Microsoft. Kelley preeminent a brace of unique developments along those lines. Red Hat Enterprise Linux versions 5.9 and 6.4 now maintain Microsoft's Linux integration services built into them. In addition, Debian 7.0 now has built-in Linux integration services.

    Use of Open ProtocolsAs piece of its Linux integration services efforts, Microsoft writes a System focus Virtual Machine Manager agent for Linux, which must breathe preinstalled in the Linux OS, Kelley explained. Microsoft's agent for Linux or Unix computers used to breathe based on OpenPegasus, but now it's based on the Open Management Infrastructure (OMI) approach. Kelly described OMI as the "equivalent of the WMI service in Windows." He added that "you're going to espy OMI rolled more into Windows going forward."

    The Microsoft agent on the Linux or Unix machine is "very light, and it's open source," Kelley said. Microsoft took that approach to contour it more cozy for open source users to elope Microsoft software on their Linux or Unix machines, he explained.

    Microsoft uses the Secure Shell (SSH) networking protocol to attain agent maintenance. Users don't maintain to spend SSH, but can spend some other tool. Monitoring happens using the WS-Management protocol.

    Microsoft provides management packs for managing Java Platform Enterprise Edition (JEE) application servers. Linux support includes JBOSS (versions 4.2, 5.1 and 6.0), Tomcat (versions 5.5, 6.0 and 7.0), WebLogic (versions 11g Rel1 and 10g Rel3) and WebSphere (versions 6.1 and 7.0). The support includes custom MBeans for health and performance monitoring, remembrance use, garbage collection and discovery. Microsoft also supports WebLogic on Oracle Solaris and WebSphere on IBM AIX.

    About the Author

    Kurt Mackie is senior word producer for the 1105 Enterprise Computing Group.


    Linux is Coming to the AS/400 | killexams.com existent questions and Pass4sure dumps

    Linux is Coming to the AS/400 The open source operating system Linux is finally coming to the AS/400. By next year, IBM promises to tender Linux running natively in an AS/400 partition. A demonstration version of Linux on the AS/400 will breathe shown in Rochester this Fall to selected customers and trade partners, and a beta version of Linux for the AS/400 will breathe available early next year. Linux is gaining a growing and loyal following of independent software vendors as well. "Linux is an operating system that was built on and built for the Internet," says Ferber. IBM announced the deployment of SuSE Linux for its RS/6000 servers and workstations last June. sizable Blue also plans to start AS/400 sites on SuSE Linux, distributed by SuSE Linux AG of Nuremberg, Germany—because of its enterprise and network support features. Eventually, most major Linux distributions will breathe available for the AS/400.

    "IBM is not distributing the Linux kernel itself," says Tim Alpers, systems software product manager at the IBM Rochester Lab. "We're establishing relationships and partnerships with various Linux distributors, and some of those distributors will provide a distribution for the AS/400." The Linux kernel can breathe loaded onto the AS/400, and elope in a secondary partition defined by OS/400.

    By deploying Linux in a partition, the system can buy handicap of system resources, says Alpers. "Plus, you're running on the horsepower that the AS/400 brings to the table, especially with their latest systems."

    Research from IDC (Framingham, Mass.) finds that Linux has been gaining ground with license shipments jumping from 15% of server operating system boxes in 1998 to almost 25% last year. In addition, the percentage of companies running Linux in some capacity has doubled over the past year, increasing from 17% to 34%, according to a survey of 400 IT managers by Evans Marketing Services, Santa Cruz, Calif. While this number includes every companies with any servers running Linux, the number of companies running Linux on more than 25% of their servers increased from less than 2% to almost 13%.

    Linux is gaining a growing and loyal following of independent software vendors as well. "Linux is an operating system that was built on and built for the Internet," says Rob Ferber, chief technology officer with OpenSales Inc., San Mateo, Calif. "And it comes at a expense point that's difficult to beat." While OpenSales' product runs on every major platforms, Ferber notes "we infatuation Linux the best, because they assume it delivers the best reliability, the best scalability, at the best expense point." Ferber notes that he has "front-line production systems that maintain been running Web sites that maintain been continuously up for a year and a half. The longer the times these machines stay up and stable and operational in a hands-free manner, the easier my life is, the easier the technical infrastructure's life is, and the less cross on the company."

    Along with plans for the AS/400, IBM is throwing considerable weight behind Linux. sizable Blue announced it was porting Linux to its SP parallel processing architecture, which currently supports AIX. IBM is also installing binary interfaces that enable its AIX and 64-bit Project Monterey servers to elope Linux. IBM also disclosed that it has the Linux operating system up and running on its next generation POWER 4 microprocessor, due out next year. IBM's WebSphere application server platform also supports Linux applications.

    IBM initially considered offering Linux on the AS/400'sIntegrated Netfinity Server (INS), just as Windows NT /2000 is currently offered, says Alpers. "The handicap with INS is that Linux today is very largely an Intel-based play. However, INS doesn't maintain SMP capability at this point in time." IBM may still deem supporting Linux on INS at some point in the future, Alpers continues. "We picked the option they thought would breathe most influential in the marketplace," he states. "If the marketplace prompts us to Put it on INS, they maintain that plenary capability as well, though it will buy some time and effort."

    Another option was to implement Linux through the AS/400's PASE (Portable Application Solution Environment), a set of runtime APIs that enables AIX applications to elope on an AS/400. However, that would maintain limited AS/400 Linux to deployment on runtime libraries, and developers would not maintain access to Linux applications source code, says Alpers. "Having the kernel itself brings additional flexibility, and ties you right into that whole open source development community. Any time you want to contour changes, you can contour them and load them into the OS/400 partition."

    The worldwide Linux development community distinguishes the operating system from any other platform on the market, notes OpenSales' Ferber. "If I necessity a patch, and if no one else is writing it, I can write it myself. Or, you can Get a bug fix on an open source product in a matter of hours, where it would breathe months with a proprietary offering."

    Those sites that want to deploy AS/400 Linux will necessity to upgrade to next year's version of OS/400, which is likely to breathe V5R1, Alpers states. "There's some enhancements that we're making in their partitioning support in the next release. We'll breathe bringing dynamic allocation of resources capability within partitioning, as well as being able to carve up processors within partitions. Some of that capability is necessary to support how we're implementing Linux in a partition."

    Related Editorial:



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