Grid and Cluster Computing: Options for Improving Windows Application Performance

The terms "grid computing" and "cluster computing" have been used almost interchangeably to describe networked computers that run distributed applications and share resources. They have been used to describe such a diverse set of distributed computing solutions that their meanings have become ambiguous. Both technologies improve application performance by executing parallelizable computations simultaneously on different machines, and both technologies enable the shared use of distributed resources. However, cluster and grid computing represent different approaches to solving performance problems; although their technologies and infrastructure differ, their features and benefits complement each other. A cluster and a grid can run on the same network at the same time, and a cluster can even contribute resources to a grid. Both of these forms of distributed computing have their roots in the UNIX operating system. However, as operating systems and networks have evolved, more operating systems have been adapted for use in both clusters and grids. Recent software releases have greatly improved both cluster and grid computing on the Microsoft® Windows® operating systems. This document defines grid computing and cluster computing from the perspective of the Windows operating systems and development environments. After reading this document you will have a clear understanding of the Windows cluster computing and grid computing options, and you will understand how the two technologies complement each other. [via]

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