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000-106 Power Systems with POWER7 Common Technical Sales Skills (R) v1

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000-106 exam Dumps Source : Power Systems with POWER7 Common Technical Sales Skills (R) v1

Test Code : 000-106
Test title : Power Systems with POWER7 Common Technical Sales Skills (R) v1
Vendor title : IBM
: 115 true Questions

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IBM IBM Power Systems with

ScyllaDB offers aid for IBM vigor techniques with its multi-core structure | killexams.com true Questions and Pass4sure dumps

ScyllaDB introduced on Wednesday a brand recent Scylla trade liberate with optimizations for IBM PowerTM system Servers with the IBM POWER9 multi-core architecture. with the aid of combining Scylla’s totally performant, close-to-the-hardware design with next-era IBM vigour tackle Servers, corporations can attain recent degrees of efficiency whereas too decreasing the footprint, permeate and complexity of their programs.

Scylla database variants with support for IBM vigor systems can live organize for download from the ScyllaDB web page.

This integration builds upon a multi-faceted relationship between ScyllaDB and IBM. In 2016, IBM Compose began featuring Scylla as section of their database-as-a-provider providing. The collaboration has on the grounds that grown to encompass additional IBM divisions, including IBM methods (both IBM energy programs and Z systems), IBM Cloud (including IBM Graph as a carrier) and IBM’s inner consume of Scylla to vigor the IBM Cloud provider Catalog.

absolutely compatible with Apache Cassandra, Scylla embraces a shared-nothing method that increases throughput and storage means to 10X that of Cassandra. AppNexus, Samsung, Olacabs, seize, Investing.com, Snapfish, Zen.ly, IBM’s Compose and a lot of extra main businesses maintain adopted Scylla to recognize order-of-magnitude performance improvements and in the reduction of hardware charges.

ScyllaDB became situated through the crew answerable for the KVM hypervisor and is backed by Bessemer challenge partners, Innovation Endeavors, Wing task Capital, Qualcomm Ventures, Magma mission partners, Western Digital Capital, Samsung Ventures, and TLV partners.

Scylla is an open source drop-in replacement for Apache Cassandra. It gives you scale-up efficiency of 1,000,000 IOPS per node, scales out to a whole lot of nodes, and consistently achieves a ninety nine% tail latency of lower than 1 millisecond. Scylla’s pioneering shard-per-core implementation, asynchronous structure and auto-tuning capabilities allow groups to automatically leverage the complete advantages of the multi-core POWER9 chip.

IBM energy methods servers are designed for mission-critical functions and rising Cognitive era workloads together with ersatz intelligence, machine getting to know, abysmal learning, superior analytics and excessive-efficiency computing. whether deployed in a personal, public or hybrid cloud, vigor tackle Servers are capable of performing tens of millions of I/O operations per 2nd. as a result of Scylla operates asynchronously, it is in a position to Take full capabilities of the velocity of the POWER9 processor, riding each I/O and CPU processing in a method that scales linearly with the number of cores on the CPU.

“ScyllaDB has designed a magnificent disbursed database that extends the efficiency advantages we’ve introduced with their multi-core POWER9 processors,” referred to Tim Vincent, IBM Fellow and vice president of IBM Cognitive systems. “The composite of the Scylla NoSQL database and their energy gadget Servers allows for their shared shoppers to scale up their systems in preference to constantly scaling out, growing recent opportunities for data middle consolidation and cost performance.”

“we are excited through the various advancements IBM has made with its vigor system Servers,” observed Dor Laor, CEO of ScyllaDB. “As information volumes proceed to boost, companies should system enhanced workloads yet additionally prevent introducing greater complexity into their techniques. The combination of Scylla and IBM POWER9 delivers extraordinary efficiency, scale, density and effectivity whereas tremendously simplifying the administrative affliction of massive facts methods.”


IBM Launches recent techniques, software, capabilities for Hybrid Cloud | killexams.com true Questions and Pass4sure dumps

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H2O.ai companions with IBM to deliver enterprise AI to IBM power methods | killexams.com true Questions and Pass4sure dumps

MOUNTAIN VIEW, Calif.--(company WIRE)--H2O.ai, the enterprise bringing AI to agencies, nowadays introduced that it has partnered with IBM to present its next-technology AI platform, GPU-powered machine learning, and top-quality-of-breed abysmal learning on IBM’s energy® techniques platform.

IBM has collaborated with fellow technology trade leaders through the OpenPOWER foundation to radically remodel the platform at the chip and device tiers by incorporating using a wide range of accelerators to obtain more desirable ranges of efficiency than attainable on natural commodity servers. IBM’s energy structure with the recent NVLink™ interface provides an advanced and most economical platform for prime efficiency analytics. the brand recent NVLink™ interconnects considered in IBM power techniques S822LC (codename: ‘Minsky’) machines open a a advantageous deal wider course between the CPU and GPU, enabling H2O’s next era AI platform to secure highest performance gains viable.

H2O.ai subsequent era AI utility – premiere-of-breed desktop gaining lore of and abysmal gaining lore of it truly is optimized for GPUs – can now Take lore of IBM’s energy architecture to supply organizations with quickest performance viable and the best expense-performance lore for AI computing. IBM customers can additionally flee H2O algorithms during the IBM records Science event platform to manage and collaborate on facts science initiatives. in addition, H2O is too attainable on the IBM’s Biginsights and IOP platform for agencies.

“H2O’s interpretable, accurate and quickly algorithms democratize the monetization of facts with AI. IBM vigour techniques gives a resilient and enormously attainable computing platform for H2O.AI shoppers,” said Sri Ambati, CEO and co-founder of H2O.ai. “we're excited to companion with the IBM group to amplify the transformation of the enterprise with AI.”

H2O is the mediocre open-source AI platform of option for commercial enterprise businesses. more than 9,000 companies and a 3rd of the Fortune 500 agencies are the usage of H2O.ai’s open source platform to derive price from statistics with desktop getting to know and abysmal getting to know and secure hold of real-time insights and bear actionable selections.

“In 5 years, A.I. should live behind your every determination. They want to achieve the strongest AI software within the hands of their customers and H2O is a complementary addition to the IBM PowerAI abysmal learning application distribution,” celebrated Sumit Gupta, VP, HPC, AI and Analytic at IBM. “H2O operating on IBM power systems allows agencies to leverage the better of breed software on IBM’s powerful hardware to secure more value of their records.”

H2O.ai has enjoyed a banner 12 months up to now. a few of H2O’s mission vital purposes consist of predictive preservation, operational intelligence, safety, fraud, auditing, churn, credit scoring, person primarily based coverage, predicting sepsis, ICU monitoring and extra. The trade become named a strong Performer in the Forrester Wave™: Predictive Analytics & computing device getting to know (PAML) solutions, Q1 2017 document by using Forrester research in March, a Visionary in Gartner’s February Magic Quadrant and certainly one of CB Insights’ AI one hundred in January.

For greater assistance about H2O.ai, gladden consult with www.h2o.ai.

About H2O.ai

H2O.ai is focused on bringing AI to corporations through application. Its flagship product is H2O, the main open source platform that makes it effortless for fiscal capabilities, coverage and healthcare companies to set up AI and abysmal researching to solve advanced problems. greater than 9,000 organizations and 80,000+ records scientists rely upon H2O for vital applications fondness predictive maintenance and operational intelligence. The company -- which was these days named to the CB Insights AI one hundred -- is used via 169 Fortune 500 enterprises, together with eight of the area’s 10 largest banks, 7 of the 10 biggest coverage businesses and four of the privilege 10 healthcare groups. exquisite purchasers consist of Capital One, modern assurance, Transamerica, Comcast, Nielsen Catalina solutions, Macy's, Walgreens and Kaiser Permanente.

observe us on Twitter @h2oai. To live trained greater about H2O customer consume instances, gladden consult with http://www.h2o.ai/purchasers/ live a section of the move.


000-106 Power Systems with POWER7 Common Technical Sales Skills (R) v1

Study lead Prepared by Killexams.com IBM Dumps Experts


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000-106 exam Dumps Source : Power Systems with POWER7 Common Technical Sales Skills (R) v1

Test Code : 000-106
Test title : Power Systems with POWER7 Common Technical Sales Skills (R) v1
Vendor title : IBM
: 115 true Questions

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Sophie Wilson: ARM and How Making Things Simpler Made Them Faster & More Efficient | killexams.com true questions and Pass4sure dumps

Sophie Wilson is one of the leading lights of modern CPU design. In the 1980s, she and colleague Steve Furber designed the ARM architecture, a recent approach to CPU design that made mobile computing possible. They did this by realizing that you could accomplish more, and quicker, with less. If you’ve consume a Raspberry Pi, or any of the myriad of embedded devices that flee on ARM chips, you’ve enjoyed the fruits of their labor.

It outright began for Sophie Wilson with an electric lighter and a slot machine (or fruit machine, as they are called in the UK) in 1978. An aspiring thief had figured out that if you sparked an electric lighter next to the machine, the resulting wideband electromagnetic pulse could trigger the payout circuit. Electronics designer Hermann Hauser had been tasked with fixing the problem, and he turned to Wilson, a student working at his company.

Wilson quickly figured that if you added a small wideband radio receiver to detect the pulse, you could suppress the erroneous payout, foiling the thief. Impressed with this innovation, Hauser challenged Wilson to build a computer over the summer holidays, based in section on a design for an automated cow feeder that Wilson had created at university. Wilson created this prototype computer that looked more fondness a hand-wired calculator than a modern computer, but the design became the basis for the Acorn System 1, the first computer that Hauser’s recent company Acorn Computers launched in 1979.

Wilson had graduated from the University of Cambridge by this time and had joined Acorn as the lead designer. The System One was unusual in that it was cheap: priced at £65 (under $90) the computer was sold as a kit that the user would assemble and solder themselves. It was built around a 1 MHz 6502 CPU, with 1152 bytes of RAM.

Several recent versions of this computer were launched in the following years, adding features fondness expansion cards. These were well-liked among enthusiasts, but no one at all caught the public fantasy in the way that the company hoped.

A Computer in Every School Hermann Hauser, Andy Hopper, Christopher Curry, Sophie Wilson, David Allen, Chris Serle, David Kitson, Chris Turner, Steve Furber at the BBC Micro 30th anniversary in 2012. From Wikipedia.

Acorn’s considerable rupture came with the BBC Micro, a computer that was designed to chaperone a computer literacy program flee by the UK broadcaster.  The BBC Micro was designed to live rugged enough for educational use, with a full-size keyboard, a BASIC interpreter, a modulator that allowed it to live connected to a standard TV and an interface to reclaim and retrieve programs to a standard audio cassette recorder. It was a huge hit, selling over 40,000 machines a month and appearing in 85 percent of UK schools.

By this time, though, Wilson’s thoughts were shifting elsewhere. The BBC Micro used the identical 6502 processor as their previous computers, but Wilson and others at the company were not satisfied with the amount of computing power this provided. So, they decided in 1983 to build their own CPU for future computers.

Several factors influenced this decision. One was a visit to the company that made the 6502, where they realized that one person was working on the next version of this CPU. This showed that you didn’t exigency a huge team to design a CPU: as long as you had a colleague who could create the chip for you, it wasn’t that difficult. The second was a project called the Berkeley RISC project, which stood for Reduced Instruction Set Coding. The conception behind this was that if a CPU was built to only flee a very small set of instructions, it could flee faster and more efficiently. Rather than add more instructions to the processor itself, the operating system running on top of the processor would rupture tasks down into the simpler instructions that the CPU would flee faster.

This conception appealed to Wilson. So, she and colleague Steve Furber designed their own instruction set, creating a simulator on a BBC Micro that convinced others at the company that the approach was worthwhile. They called this Project A, but it was later christened the Acorn RISC Machine or ARM.

Smaller, Faster, and Better

The architecture of their system was fundamentally different to most CPUs. Wilson and others had tested the 6502 and other similar processors and organize that they could only wield a limited amount of data. Most CPU designers were adding more instructions to their chips, providing recent ways that the CPU could wield and process this data. Wilson and Furber took the contradictory approach, removing parts until they had the bare bones that were needed, creating a chip that was simpler and required less power than existing CPUs. This meant that it was much easier to bear the CPU deal with bigger numbers. Because the architecture was simpler, you could more easily create 16 or 32-bit CPUs. By creating less, Wilson and Furber produced a chip that could accomplish more.

Let’s Take an instance — one that Wilson uses herself. The 6502 CPU that she used in the BBC Micro would Take 2 clock cycles, or about 1 microsecond to add two 8-bit numbers together. But when you start using the larger numbers that most computing tasks require, the 6502 is hobbled by having to deal with these numbers in 8-bit chunks.  That’s because the 6502 only works with 8 bits of data at once (called the data bus width), so it needs to chop up bigger numbers into 8-bit chunks and add these chunks together individually, which takes time. In fact, the 6502 would exigency 26 clock cycles to add together two 32-bit numbers.

You could build a version of the 6502 that would maintain a larger data bus width, but that exponentially increased the number of transistors that the chip required: you quickly cease up needing millions of transistors to wield the involved operations on these bigger data chunks. Alternatively, you could accomplish what Steve Wozniak did with Sweet16, a hack he wrote for the Apple II (which used the identical 6502 processor as the BBC Micro) that effectively created a virtual 16-bit processor. The problem was that this ran at a tenth of the speed of the 6502.

By contrast, the first ARM CPU that Wilson and Furber built had a 16-bit data bus width and ran at a faster clock speed than the 6502, so it could add two 32-bit numbers in nine clock cycles, or about 125 nanoseconds. And it could accomplish that on a chip that wasn’t much bigger than the 6502. It could accomplish this because the simpler architecture was easier to scale up to flee with the bigger data bus widths. Because it only had to process a small number of instructions, the chip was simpler and faster.

Wilson and Furber designed a CPU, graphics chip, and remembrance controller that worked together to create a complete system for testing, which was delivered in 1985. When Furber decided to measure how much power this test processor was using, his multimeter failed to detect any power flow. Furber investigated, and realized that the development board they were using was faulty: it was not delivering any power to the CPU. Instead, the processor was quite happily running on the power delivered over the signal lines that fed data into the CPU.

Acorn quickly realized the potential of this design and moved to patent the techniques it used. This created the first practical RISC architecture, called ARM V1. This has been through several iterations since, but the fundamentals remain the same: a small number of instructions that can flee quickly are more efficient than a lot of instructions that Take a long time to run.

While Wilson was creating the first ARM CPUs, Acorn itself was in trouble. The BBC Micro, while popular, was expensive to produce, and production problems had meant that the company missed the considerable holiday buying season in 1983. Although over 300,000 BBC Micros had been ordered, only 30,000 were delivered by Christmas 1983. On top of that, the company had borrowed significantly to scale up production and develop the follow-up model, the BBC Master. One creditor had grown frustrated and tried to shut the company down, a process that leads to layoffs and fiscal issues that eventually import that Acorn was sold, passing through the hands of a number of different companies and spinning off the ARM section of the company, which quickly became worth more than Acorn itself.

The ARM architecture itself took some time to become popular, but the main driver for this was mobile computing. Because power is at a premium in a mobile device, the ARM architecture is ideal, as it can flee more operations on less power than more involved chips. In fact, the ARM architecture is still used on most mobile phones, laptops and other devices, with companies fondness Apple, Samsung and many others licensing the ARM architecture for consume in their mobile processor.


The Costs and Implications of EHR System Downtime on Physician Practices | killexams.com true questions and Pass4sure dumps

Executive SummaryGovernment funding incentives (ARRA HITECH Act) to implement electronic health record systems (EHR) are driving most physicians towards the selection and implementation of EHR applications that are appropriate to their practice. However, even though the mediocre rehearse takes more than 120 days to select their EHR solution, 87% of practices spend no time evaluating the service levels and uptime associated with these installations, instead leaving this considerable criterion in the hands of the software provider. Even when asked, some vendors avoid this growing exigency and offer no solution at all, leaving it as a point of exposure for the practice. Neglecting the amount of system downtime that a rehearse might sustain could cost the mediocre 5-physician rehearse nearly $25,000 if the product is down just ten hours during the course of a year. Therefore before selecting an EHR product, the rehearse should not only consider price, functionality, usability, support, and training. It must too determine the practice’s exposure to the potential outcome of system downtime. This will impact the overall rehearse efficiencies, staff and client satisfaction, and the talent to provide care.

Why Is Controlling Downtime Costs ImportantAs seen in the AC Group 2010 Healthcare Technology Survey, four of the top five healthcare applications deemed most considerable over the next four years relate to mission faultfinding clinical applications. These applications embrace Electronic Health Records (EHR), patient portals, Clinical Information Systems, Clinical Data Repository, and Point-of-care clinical decision support.

Why are clinical applications so considerable now? A few years ago a group of leading Fortune 500 companies and other great healthcare group purchasers worked with the federal Office of National Coordinator (ONC) to established three standards that healthcare organizations must meet to secure group members’ business; number one on the list is implementing an EHR system. Since then, numerous organizations maintain pressured physicians to start adopting EHR applications. These organizations assess that clinical applications can ameliorate the character of patient health and can reduce serious prescribing errors by more than 50 percent. They believe that overall better healthcare monitoring and clinical reasoning can ameliorate patient safety, which in turn equals improved fiscal value - not just for employers, but too for providers, consumers, and payers of supervision as well.

The downtime issue escalates when a healthcare organization deploys applications that are used primarily by Physicians. For example, at this year’s MGMA conference, a panel of physicians agreed that system speed and availability was faultfinding in their decision to consume an ambulatory EHR application. The panel agreed that, if the system was NOT available a minimum of 99% of the time, then they would not consider the application liable enough to consume in the future.

What this panel failed to consider or realize is that 99% uptime translates into an mediocre of more than 87 hours of solution downtime annually. The cost associated with that amount of downtime is tens of thousands to hundreds of thousands of dollars, depending on rehearse size.

Cost of DowntimeTo abet understand the cost of downtime associated with Electronic Health Record (EHR) systems, AC Group conducted a study during 2010 designed to shed more light on this considerable issue. It was determined that, in the rush to adopt Electronic Health Record (EHR) applications, system availability requirements associated with the underlying IT systems are often overlooked. This can result in significant costs – both fiscal and operational – based on the probable downtime per year associated with different systems and configurations. As the rehearse becomes increasingly reliant on electronic records, the software application should maintain little-to-no downtime, as any downtime can adversely impress the supervision of a patient and increase operating costs.

To effectively implement faultfinding applications, whether EHR or PMS, the clinical community must live assured that the application will live available and liable when they exigency it. To accomplish this, physicians and administrators MUST insure that their EHR vendor’s software and the hardware platform it runs on will operate at a committed plane of uptime acceptable to the practice. Software providers may or may not recommend or provide a high-availability platform solution (either hardware or software) for their applications. But, that does not import practices and clinicians should not bear this a requirement for the faultfinding applications that they depend on to flee their practices and supervision for patients. Having said that, physicians should hope that the responsibility to require service levels and obtain availability SLAs will tumble to them.

An EHR vendor who cannot provide an availability solution that meets today’s industry definition of lofty availability –less than one hour of unplanned downtime per year – can easily cost the rehearse more than $488 per hour of downtime for each physician in the practice. For the mediocre server deployed in most practices to support an EHR application, the expected downtime averages 87 hours per year. Even traditional server cluster options which pledge lofty availability statistically mediocre over four hours per year, with involved operating requirements which add significant additional costs in equipment, maintenance and administration. On a per physician basis these costs, as well as the disruption to operations and patient care, can live staggering.

Healthcare executives’ concept of acceptable downtime, and conversely uptime, for faultfinding applications has historically lagged virtually outright other industries. A review of 37 vendor contracts indicated that vendors are only providing an uptime guarantee of 96%. What does 96% availability mean, and is that sufficient? Is 99.99% uptime even attainable at reasonable cost, and what cost is reasonable? What amount of downtime are you willing to accept? What does a vendor’s uptime guarantee really import to a healthcare organization and patient care? The differences between uptime levels in terms of fiscal impact and rehearse disruption will amaze even the most experienced healthcare provider and healthcare IT executive, alike.

Value of UptimeTime is money. A rehearse committed to an EHR solution will suffer both fiscal and care-giving consequences if that system is unavailable to them. How much impact depends on these factors:

  • Level of technology in consume by a physicians practice: rehearse Management (PM) only, PM and EHR, Clinical Outcomes and decision Support
  • Size of the physician’s practice
  • The plane of uptime (i.e. talent to consume the system) delivered by the total solution
  • Obviously, the greater a practice’s reliance on technology, the greater the impact when the application goes down in terms of the mediocre cost of the outage itself. That is, a rehearse that still relies on manual data entry and rehearse management will not suffer the identical pang as a full-blown EHR-based rehearse because they rely on technology less to conduct their routine business. (Conversely, the paper-based rehearse does not realize the many benefits of a smooth-running EHR solution.) It is not only the time required to manually conduct trade during the outage that contributes to cost. It’s too the time required to bring the automated systems up to date post- recovery. They mention to this as the multiplier outcome - the mediocre cost per employee for a minute of downtime, plus the cost of time needed to recur to natural operation after system recovery.

    The 2010 Downtime StudyAC Group conducted time/motion studies of various size practices, in varying stages of EMR deployments, to determine the mediocre cost per minute of downtime for small, mid-size and great physician practices. The three-month study was completed on November 1, 2010 and was based on actual healthcare organization man-hours, salaries, and workload numbers by individual enterprise department. The study evaluated the amount of time each rehearse spends (1) collecting, (2) reporting, (3) organizing, and (4) disseminating information. Note: throughout this paper they consume the overall term “Information” to relate these four functional areas. Some of the detailed findings included:

  • Nursing spends 57.4% of its annual man-hours on automated “information”, (collecting, reporting, organizing, and disseminating information).
  • Non-nursing departments (registration, scheduling, billing, etc) spend 87.4% of their man-hours on automated “information”.
  • The typical EHR-enabled rehearse spends 71.45% of outright man-hours on automated “information”. This is compared to the mediocre non-EHR enabled rehearse that only spends 28% of its annual man-hours on automated “information”, but spends an additional 48% of man-hours on manual “information”.
  • Using this information, the AC Group was able to identify and validate that for every minute an EHR application is down the mediocre physician rehearse spends 2.15 minutes to execute the required tasks manually plus the time required to update the computer systems once the system is back up and operating. Using the mediocre practice’s actual financial, man-hour, and workload statistics, the AC Group determined that the mediocre cost of downtime was $8.13 per minute per provider, which equates to a median across outright rehearse sizes and specialties of almost $488 per hour.

    Calculating the cost of downtime

    SummaryBased on the findings from this study, compromising on software and/or hardware uptime assurance can live financially punishing in the long-run, not to mention operationally disruptive with increased susceptibility to data-entry errors during recovery. This discovery renders even more manifest the extreme consequence of evaluating system uptime specifications when measuring and rating the performance of a vendor’s product.

    Again it is considerable to note here that the overwhelming majority of EHR software vendors will not embrace uptime SLAs in their contracts without specifically being required to accomplish so. If required by the healthcare organization, almost every vendor indicated that the cost of the system would increase from 5% to 20% for each 1% increase in uptime guarantee over and above the standard 96% uptime level. Considering the uptime assurance solutions on the market today, there is dinky justification, if any, to attach such a 5-20% premium for ensuring such mission-critical applications remain available without exception. The best availability products will live industry-standard (i.e. Windows, Linux, x86 processors), require no special skills to operate and manage, will monitor, self manage and automatically remediate system issues, reduce opportunity for human-induced system failures, and deliver an excellent recur on investment when evaluated on Total Cost of Ownership (TCO) basis.

    The healthcare industry must continue to align its IT expenditures with trade initiatives by adapting a comprehensive system for determining IT strategies, expenditures, and staffing requirements based on best practices. Healthcare organizations must drive enterprise-wide systems that sustain a constant innovation cycle in the recent competitive environment. To accomplish this, they must learn to match their healthcare organization skills and requirements with their current trade environment, or mug extinction.

    Although software vendors rarely provide uptime commitments, a physician’s rehearse should require written documentation that the proposed EHR application meets today’s generally accepted standards for lofty availability (i.e. less than one hour of unplanned downtime per year on average) in actual installations, or that its software is certified to flee on high-availability products from other vendors with no performance impact.

    The challenge ahead for healthcare organizations is enormous. They outright know that operational and cost barriers exist when selecting a system; nevertheless, the potential benefits of clinical applications and EHR, in terms of patient safety and character of care, operational efficiency and cost reduction, competitive advantage, and market share gain are tremendous. They believe that every healthcare organization is in a considerable position to abet enhance recording, reporting, and dissemination of clinical data. To accomplish this, the healthcare organization MUST insure that the vendor can guarantee an adequate system uptime, especially with EHR applications. Those who succeed will receive industry-wide recognition and ultimately reward for their organizations. Key to evaluating clinical systems must live the healthcare organization’s recognition that downtime costs are an considerable factor for every

    healthcare organization. Healthcare organizations must ensure that downtime is minimized through nigh system management and by working closely with each technology provider.

    Availability OptionsRegardless of whether the physicians’ office maintains its own IT staff, or has consultants near onsite to manage IT operations, or relies entirely on a third-party to oversee its EHR applications offsite sight unseen, system downtime still levies the identical cost on the practice. Any election made to provide uptime still possesses levels of complexity in operations and ongoing management, and requires a base plane of professional skills to operate reliably. It is vitally important, as they maintain demonstrated, that those who bear the purchasing decisions and/or Take responsibility for IT system health know the plane of uptime they should hope from offerings provided by their software provider, value-added reseller, or managed service provider.

    Following is a description of common platform, software and hardware offerings deployed in conjunction with EMR applications. Each has its own characteristics and talent to provide uptime assurance.

    Robust standalone server: The current generation of x86 servers includes features fondness redundant fans and power supplies, hot-plug PCI card, and mirrored memory, offering improved reliability over unadorned commodity servers. They can live expected to flee at 99.0% uptime reliability, with complementary mediocre downtime of more than 7 hours per month. The issue with standalone servers is not so much reliability of the individual server, but rather the time it takes to impress repair or replacement, and recur EMR applications to full production.

    Cold standby: Keeping a second server on hand to provide back-up is an option, but undesirable for mission-critical such as EMR applications. Connecting a replacement server to a shared disk array, or moving disks from the primary server to the back-up generally requires a skilled administrator. It too scarcely improves protection against downtime, although it could provide some capitalize to getting online a bit more quickly (assuming the back-up server works when called upon).

    Data replication: This off-the-shelf software option replicates data files synchronously or asynchronously from one or more servers to a target server. Should a source server fail, the target server takes over either automatically or through manual intervention. Depending on the product chosen and overall system configuration complexity, this option may thrust uptime reliability to as lofty as 99.9%, or three-quarters of an hour of downtime per month.

    High availability clusters: Two or more ordinary servers connected by software into a single network are the basis of an HA cluster. The cluster configuration is difficult to build, operate and manage. Although Microsoft has made recent improvements to Windows Cluster Service, this approach to availability remains fundamentally complex. Clustering is re failure-recovery technology. When one node in cluster fails, the application fails over to a survivor node – not as easy or as quickly as it sounds. Invariably, there will live failover delay, and data that had not been committed to remembrance (in-flight data) will live lost. This custom-built option can achieve 99.9% uptime and, if meticulously designed, configured, administered, and maintained by skilled staff, may achieve 99.95%. Clusters are frequently cited as offering the highest availability, but that is only because it is the best uptime major server vendors can offer.

    Virtualization software: Many view virtualization software as an availability solution unto itself. It is not. It does maintain such attributes, but they near at a cost, both in licensing, additional equipment, stringent configuration requirements, and management tools, not to mention the complexity of, and skills required to consume virtualization software in the first place. Availability will live no better than a cluster, but virtualization does provide other benefits such as reducing the number of physical servers needed to support a greater number of applications, and outright the cost savings associated with reducing server count.

    High availability software: Software products maintain near to market in the past few years that provide better availability on commodity servers than clusters, are significantly less expensive, as well as simpler to consume and maintain. The software essentially creates a high-availability computing platform upon which to flee EMR applications. The best of these products proactively manages and monitors its own operation, prevents downtime and data loss from occurring (unlike clusters), supports multiple operating systems, and has virtualization software built in. Regardless of whether the physician installs the software or the value-added reseller delivers it as section of a total solution, it is easily accomplished and produces a high-availability computing platform exceeding 99.99%, i.e. less than five minutes of downtime per month on average.

    Continuous availability servers: Designed specifically to prevent downtime and data loss from occurring in the first place, “fault-tolerant” servers embrace complete component redundancy and mistake detection circuitry. Automatic foible detection and correction is engineered into the design so that most errors are resolved without the user or the application being impacted at all. You can hope better than 99.999% uptime from this platform, or just seconds of downtime per month. While the cost may live higher at the outset, the uptime performance and operational simplicity of foible tolerant server is very cost effective from the perspective of total cost of ownership (i.e. advantages in software licensing, maintenance, staffing, software patching and updating, etc.).


    Texas is only 6000 years old! | killexams.com true questions and Pass4sure dumps

    During the Texas State Board of Education hearings on science standards for Texas schoolchildren, BoE member and staunch creationist Barbara Cargill decided that the age of the Universe was up for vote. Oddly enough, I had some issue with that. You may vote on issues outright you want, and you can even vote on morality if you’d like, but scientific reality is not a matter of sentiment and cares not for the majority vote.

    The National center for Science Education has video of the flash where it becomes lucid that Ms. Cargill, not joyful enough to extinguish biology for students, proposes an amendment to creationize astronomy as well:

    Listening to her gives me the heebie-jeebies. About the astronomy standards, she says "…there are different estimates [of the age of the Universe]… they will live taught about 12 – 14 billion years ago, but this leaves it open a dinky bit to contend how many billions."

    It is absolutely lucid from what she is aphorism that she is deliberately trying to weaken the teaching of the stale age of the Universe. Another member queries her specifically, asking if this will open up astronomy to the teaching of literal Biblical creationism. Cargill then completely dodges the question, aphorism she is simply taking the language of the recommendations. But that language is clearly aphorism the Universe is old, and there is a small amount of uncertainty (actually, only about 120 million years) in the age assess of the Universe.

    What she did, to achieve it simply, is a crock. It is perfectly transparent what she wanted: to wedge open the door to allow the teaching of young-Earth creationism in the classroom, using the standard "strengths and weaknesses" creationist propaganda tactic.

    Need I exclaim it? Her amendment passed, 11 to 3.

    I honestly feel unfavorable for any child entering the Texas public school system over the next ten years, and I sincerely hope that the Legislature of the Lone Star State is able to Take away the ridiculous amount of power the BoE has. They are flaunting their violation of the First Amendment of the Constitution of the United State of America (not to mention bending or breaking that pesky "false witness" Commandment), and their influence reaches well beyond their own state borders.

    Tip o’ the ten gallon hat to BABLoggee Javier Pazos for alerting me to the video.



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    References :


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