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Grid Computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Grids use the resources of many separate computers connected by a network (usually the Internet) to solve large-scale computation problems.
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Results 1 - 15 of 15 matches |
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Read on to learn four solid reasons why putting your warehouse management on a cloud may make the most sense for your business - reasons your executives will listen to.
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This free white paper shows that Oracle WebLogic Suite packages many essential middleware capabilities to help organizations implement application grid concepts. Learn about the technical components of the suite to create an infrastructure layer that pools and dynamically provisions the resources on which business applications and SOA run. Download this free, compelling white paper now.
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Companies are learning how to run their data centers more efficiently using less hardware, less software and less IT resources. These companies are turning to a new concept called application grid, an infrastructure layer beneath the application layer that pools and dynamically provisions the resources on which those applications run. Application grid brings the same type of efficiency, scalability, and quality of service to the application layer that database clusters brings to the database layer. With an application grid you get greater efficiency, exceptional agility, and superior quality of service.
Download this free white paper now.
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This free white paper details key steps for achieving a superior data management strategy-a 'must have' capability for applications to operate with extreme, predictable performance and scalability. You'll learn:
· Why data management is a vital component of all mission-critical applications
· How many of the world's largest companies to achieve extreme, scalable performance with continuous availability for business-critical applications
. How a successful data management strategy can increase business velocity while making your business more efficient.
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| By : HP SAS |
Published Date: Oct 15, 2008 |
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SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
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| By : HP SAS |
Published Date: Sep 24, 2008 |
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Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency. Download HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
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This paper discusses how Java EE 5 dramatically speeds the development of SOA applications and how enterprise developers can leverage its power by using Oracle WebLogic Server. Download this free white paper today.
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| By : Appistry |
Published Date: Oct 11, 2007 |
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This white paper describes how software-based, real-time grid environments -- i.e. application fabrics -- are successfully meeting the requirements of today's most demanding applications, delivering scalability, manageability and affordability.
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| By : Appistry |
Published Date: Oct 11, 2007 |
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Organizations serving the intelligence & defense community rely on the performance of their applications for more than revenue - national security depends upon those applications for mission-critical operations. This industry profile details how Appistry provides the reliability and performance demanded by intelligence & defense organizations.
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| By : Appistry |
Published Date: Oct 11, 2007 |
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Learn why GeoEye chose Appistry EAF to reduce development and operational cost and complexity, and enhance the company's agility in meeting the evolving needs of its customers.
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The world of super computing has changed in recent years, moving from a scale-up, monolithic, expensive architecture to the scale-out clustering of low cost microprocessors, also referred to as High Performance Business Computing (HPBC) clusters.
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| By : IBM |
Published Date: Aug 21, 2008 |
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Establishing an ESB is essential in delivering a Service-Oriented Architecture. But for an SOA to be effective, you’ll also need your ESB to recover quickly from unexpected hardware and software failures. Clustering can help by enabling your systems to operate in parallel, so that if one should fail, those remaining can seamlessly step in.
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This white paper primarily focuses on the expanding role of HPC management software in the HPC marketplace. The paper emphasizes its historical development and considers its business case and future prospects while dispensing with more elaborate technical analysis and product comparisons.
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| By : Quocirca |
Published Date: Sep 07, 2007 |
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From humble roots in basic provisioning, data center automation has grown in response to years of unbridled server proliferation, and is now transforming the enterprise data center.
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With Grid computing, computer systems and other resources aren’t necessarily constrained to be dedicated to individual users or applications, but can be made available for dynamic pooling or sharing to meet the changing needs of the organization.
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Quality Of Service, Remote Access, Remote Network Management, Server Hardware, Servers, Small Business Networks, TCP/IP Protocol, Test And Measurement, Traffic Management, Tunneling, Utility Computing, VPN, Wide Area Networks, Green Computing, Cloud Computing, Power and Cooling, Data Center Design and Management, Colocation and Web Hosting, Active Directory, Bandwidth Management, Convergence, Distributed Computing, Ethernet Networking, Fibre Channel, Gigabit Networking, Governance, Grid Computing, Infrastructure, Internetworking Hardware, Interoperability, IP Networks, IP Telephony, Local Area Networking, Load Balancing, Migration, Monitoring, Network Architecture, Network Management, Network Performance, Network Performance Management, Network Provisioning, Network Security, OLAP, Optical Networking |
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