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.
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.
White Paper Published By: IBM
Published Date: Aug 21, 2008
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.
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.
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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