Fast and scalable real-time monitoring system for beowulf clusters

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Abstract

Fast real-time monitoring of system information is important to the understanding of parallel system especially for a large cluster system that appeared recently. Making the system fast and scalable at the same time is still a challenging task. This paper presents the design and implementation of a fast and real time monitoring system called SCMS/RMS. This system is a part of more comprehensive cluster management tool called SCMS. SCMS/RMS is designed to be flexible, highly scalable, and efficient. Many techniques that are used to increase the monitoring speed and to achieve high scalability have been described in this paper. The experiment has been conducted on a 72 nodes Beowulf Cluster and the results show that SCMS/RMS is very fast and highly scalable.

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Uthayopas, P., & Phatanapherom, S. (2001). Fast and scalable real-time monitoring system for beowulf clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2131, pp. 201–208). Springer Verlag. https://doi.org/10.1007/3-540-45417-9_29

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