Policy-driven autonomic management of multi-component systems

ABSTRACT

Policies have been proposed as a means to express required or desired behavior of systems and applications, and possible management actions for resolving violations, to an autonomic manager. In multi-component systems, such as e-commerce systems, independent sets of policies often deals with managing the behavior of the individual components. In turn, the autonomic management system uses the policies to make decisions on what actions to take per component when a policy is violated. During operation of these multi-component systems, however, these independent sets of policies may yield multiple directives from which the autonomic manager must select one or more appropriate actions. In this work we look at heuristics that an autonomic manager might use to select an action. We outline the design and implementation of an autonomic manager making use of these heuristics and describe our experiences with it in a dynamic Web server. Experimental results are reported comparing the effectiveness of the heuristics.

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