Abstract
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.
| Original language | English |
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| Title of host publication | IEEE International Conference on Algorithms and Architectures for Parallel Processing |
| Publisher | IEEE |
| Pages | 537-544 |
| Number of pages | 8 |
| Publication status | Published - 1 Jan 1995 |
| Externally published | Yes |
| Event | Proceedings of the IEEE 1st International Conference on Algorithms and Architectures for Parallel Processing. Part 1 (of 2) - Brisbane, Australia Duration: 19 Apr 1995 → 21 Apr 1995 |
Conference
| Conference | Proceedings of the IEEE 1st International Conference on Algorithms and Architectures for Parallel Processing. Part 1 (of 2) |
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| Country/Territory | Australia |
| City | Brisbane |
| Period | 19/04/95 → 21/04/95 |
ASJC Scopus subject areas
- General Computer Science
- General Engineering