A growing number of systems have to face dynamic and unpredictable execution conditions and workloads. In an attempt to address the challenges posed by such environments, many systems are built from customizable components. These components can be tuned according to the execution context, allowing the system to meet its QoS requirements. In this context, self-management is an essential quality. This chapter presents an approach for the self-management of systems built from customizable components based on high-level goal policies. With this approach, in response to changes in the execution context, the necessary system adaptations are automatically selected and deployed. The evaluation of different aspects of the approach relies on a web-based application deployed as a distributed clustered-based architecture. © 2013 Springer-Verlag.
CITATION STYLE
Rosa, L., Rodrigues, L., & Lopes, A. (2013). Self-management of distributed systems using high-level goal policies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7475 LNCS, pp. 162–190). https://doi.org/10.1007/978-3-642-35813-5_7
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