PHOENIX: A Self Adaptable Monitoring Platform for Cluster Management
Boutrous Saab, Céline; Bonnaire, Xavier; Folliot, Bertil (2002), PHOENIX: A Self Adaptable Monitoring Platform for Cluster Management, Cluster Computing, 5, 1, p. 75-85. http://dx.doi.org/10.1023/A:1012748806955
TypeArticle accepté pour publication ou publié
Journal nameCluster Computing
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Abstract (EN)Distributed systems based on cluster of workstation are more and more difficult to manage due to the increasing number of processors involved, and the complexity of associated applications. Such systems need efficient and flexible monitoring mechanisms to fulfill administration services requirements. In this paper, we present PHOENIX a distributed platform supporting both applications and operating system monitoring with a variable granularity. The granularity is defined using logical expressions to specify complex monitoring conditions. These conditions can be dynamically modified during the application execution. Observation techniques, based on an automatic probe insertion combined with a system agent to minimize the PHOENIX execution time overhead. The platform extensibility offers a suitable environment to design distributed value added services (performance monitoring, load balancing, accounting, cluster management, etc.).
Subjects / Keywordsself-adaptable monitoring; Adaptable Monitoring Platform for Cluster Management
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