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Optimization in a hierarchical distributed performance monitoring system

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4 Author(s)
Ling Shi ; Dept. of Comput. Sci., James Cook Univ. of North Queensland, Townsville, Qld., Australia ; de Vel, O. ; Jiannong Cao ; Cosnard, M.

Monitoring program execution in a distributed system can generate large quantities of data, and the collection and processing of the monitoring data is one of the primary factors that contribute to the complexity of distributed monitoring. In order to reduce such complexity, a hierarchical distributed performance monitoring system has been developed. In this paper we describe an optimization method to improve the efficiency of the monitoring system. By considering the topology used by the application program and the distribution of monitoring records, an optimized grouping can be determined to obtain an improved performance for the monitoring system. The experiments presented in this paper have demonstrated such an improvement in performance

Published in:

Algorithms and Architectures for Parallel Processing, 1995. ICAPP 95. IEEE First ICA/sup 3/PP., IEEE First International Conference on  (Volume:2 )

Date of Conference:

19-21 Apr 1995