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Volume: 4 Issue: 1

Obtaining Performance Measures through Microbenchmarking in a Peer-to-Peer Overlay Computer

Paolo Bertasi, Mauro Biancoy, Andrea Pietracaprina, Geppino Pucci

Abstract:
The availability of enormous amounts of un-used computing power and data storage over the In-ternet makes the development of a globally distributed computing platform, called Overlay Computer (OC), at-tractive for the industry, the scientific community, and also the general user. In order to be effective, an OC must be equipped with tools for estimating and optimiz-ing the performance of applications. The tools must rely upon performance metrics of the key factors impacting performance of a distributed application, such as inter-connection latency and bandwidth, and available comput-ing power at the nodes. This paper first reviews the state-of-the-art on performance benchmarking approaches in globally distributed systems, including performance-conscious P2P systems. Later, it addresses the problem of developing a suite of microbenchmarking experiments aimed at providing the basic functionalities of a measurement tool for a P2P-based OC platform. Results show that such a measuring system should take into account the communication patterns generated by the applications in order to provide useful performance insights.

Keywords:
Auto Associative Neural Networks, Modified Great Deluge Algorithm, Soft Computing and Bankruptcy prediction in banks.

doi:10.5019/j.ijcir.2004.119

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