Utilizing Commodity Hardware and Software to Distribute a Real-World Application: Maximizing Reuse While Improving Performance

Utilizing Commodity Hardware and Software to Distribute a Real-World Application: Maximizing Reuse While Improving Performance

• June 1st, 2005
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This research delved into the current use of the commodity computing hardware, which is motivated by a dramatic increase in the performance to price ratio. The research evaluated the performance of a statistical analysis application in a ten-node off the shelf computing cluster. The study had two stems: (1) examining the various network topologies, and (2) minimizing the software modifications required in distributing the application. The general conclusion was that when reuse of existing code is feasible, performance can be dramatically increased by the combined use of parallel computing and commodity components.