Abstract
The centralized management of large distributed systems is often impractical, particularly when the both the topology and status of the system change dynamically. This paper proposes an approach to application-centric self-management in large distributed systems consisting of a collection of autonomic components that join and leave the system dynamically. Cooperative autonomic components self-organize into a dynamically created overlay network. Through local information sharing with neighbors, each component gains access to global information as needed for optimizing performance of applications. The approach has been validated and evaluated by developing a decentralized autonomic system consisting of multiple autonomic application managers previously developed for the In-VIGO grid-computing system. Using analytical results from complex random network and measurements done in a prototype system, we demonstrate the robustness, self-organization and adaptability of our approach, both theoretically and experimentally.
Keywords
- Virtual Machine
- Local Resource
- Domain Registry
- Grid Resource
- Autonomic Computing
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Xu, J., Zhao, M., Fortes, J.A.B. (2009). Cooperative Autonomic Management in Dynamic Distributed Systems. In: Guerraoui, R., Petit, F. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2009. Lecture Notes in Computer Science, vol 5873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05118-0_52
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DOI: https://doi.org/10.1007/978-3-642-05118-0_52
Publisher Name: Springer, Berlin, Heidelberg
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