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On heuristics for optimal configuration of hierarchical distributed monitoring systems

JOURNAL OF systems AND SOFTWARE 1998年第3期43卷 197-206页

作者： Cao, JN Zhang, K de Vel, O Hong Kong Polytech Univ Dept Comp Hung Hom Kowloon Peoples R China Macquarie Univ Dept Comp N Ryde NSW 2109 Australia James Cook Univ N Queensland Dept Comp Sci Townsville Qld 4811 Australia

This paper considers the problem of optimal configuration of the monitoring units in a hierarchical distributed monitoring system-A hierarchical distributed monitoring system consists of a hierarchy of monitoring units which are grouped and distributed onto the physical network. The architecture lends itself to parallel processing, reducing the complexity of distributed monitoring caused by factors such as collection and processing of the large quantities of monitoring data. Furthermore, the topology-specific partitioning of the monitoring units allow complex, topology-specific events to be monitored and evaluated in a natural and efficient way. The optimal configuration problem is concerned with finding an optimal hierarchical partition of the monitoring units such that the total processing cost is the minimum. It is a NP-complete problem. In this paper, we study the heuristics for obtaining near-optimal grouping of monitoring units. Simulation of heuristic algorithms for mesh and hypercube networks are presented. The results suggest further system topology specific heuristics. Although the paper is targeted at distributed monitoring, we believe that the results can also be applied to other hierarchical control problems in distributed computing. (C) 1998 Elsevier Science Inc. All rights reserved.

关键词： parallel and distributed computing hierarchical distributed systems distributed monitoring optimization

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