Performance Issues of Grid Computing Based on Different Architecture Cluster Computing Platforms

Authors:
Hsun-Chang Chang;Kuan-Ching Li;Yaw-Ling Lin;Chao-Tung Yang;Hsiao-Hsi Wang;Liang-Teh Lee
Affiliations:
Providence University;Providence University;Providence University;Tunghai University;Providence University;Tatung University
Venue:
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
Year:
2005

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Abstract

This research paper discusses performance issues of cluster and grid computing platforms, and reasons to support the implementation of these computing infrastructures. A number of benchmark programs are executed in these computing systems, in order to perform performance analysis of experimental results. We will be able to show that cluster platforms are excellent alternatives to access to supercomputing, due to its cost/performance, scalability and commodity components factors. In addition, we also show that grid technology is viable by increasing total system performance at no additional cost.