A dynamic and scalable performance monitoring toolkit for cluster and grid environments

Authors:
Kuan-Ching Li;Ching-Hsien Hsu;Chia-Hsien Wen;Hsiao-Hsi Wang;Chao-Tung Yang
Affiliations:
Department of Computer Science and Information Engineering, Providence University, Shalu, Taichung 43301, Taiwan.;Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan.;Department of Computer Science and Information Management, Providence University, Shalu, Taichung 43301, Taiwan.;Department of Computer Science and Information Management, Providence University, Shalu, Taichung 43301, Taiwan.;Department of Computer Science, Tunghai University, Taichung, 40704, Taiwan
Venue:
International Journal of High Performance Computing and Networking
Year:
2009

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Abstract

The low-cost and availability of network of workstations have made them an attractive solution for high performance computing. Striking progress of network technology is enabling high-performance global computing in which large sets of diverse and geographically distributed resources are transparently and coordinately employed to solve large-scale problems. In this paper, Visuel toolkit for performance measurement and analysis of parallel applications in cluster and grid environments is presented. It is a web-based interface designed not only to provide dynamic monitoring view and management information, but also performance activity of all computing nodes of computing platform involved in the execution of a parallel application. Evaluations using this toolkit show the effectiveness in easing the process of investigation and implementation of parallel applications.