Papers on "Computer Clustering" and similar term paper topics

Paper #055190 :: Computer Clustering
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This paper describes computer clustering, commonly used for parallel processing, batch processing, load balancing, and high availability.

Written in 2004; 2,040 words; 11 sources; APA; $ 64.95

Paper Summary:

This paper explains that computer clustering involves the use of multiple computers, typically personal computers (PCs) or UNIX workstations, multiple storage devices, and redundant interconnections, to form what appears to users as a single integrated system. This paper points out that, despite some challenges, such as achieving transparency, mitigating network latency, and the split-brain problem, clustering has proven to be a huge success for bringing scale and availability to computing applications. The paper relates that, just as clustering has reduced the importance of supercomputers for parallel processing, clusters are making the mainframe less relevant for batch applications.

From the Paper:

"Parallel processing is the processing of program instructions by dividing them among multiple processors with the objective of running a program in less time. Parallel processing is normally applied for rendering and high computational based applications. Rather than using expensive specialized supercomputers for parallel processing, implementers have begun using a large cluster of small, commodity servers. Each server runs its own operating system, to take a number of jobs, process them, and send the output to the primary system. Clusters provide the ability to handle a large task in small bits, or lots and lots of small tasks across an entire cluster, making an entire system more affordable and more scalable."

Tags: multiple software workstations parallel batch

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