TY - GEN
T1 - Cooperative autonomic management in dynamic distributed systems
AU - Xu, Jing
AU - Zhao, Ming
AU - Fortes, José A.B.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70549083787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70549083787&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-05118-0_52
DO - 10.1007/978-3-642-05118-0_52
M3 - Conference contribution
AN - SCOPUS:70549083787
SN - 3642051170
SN - 9783642051173
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 756
EP - 770
BT - Stabilization, Safety, and Security of Distributed Systems - 11th International Symposium, SSS 2009, Proceedings
T2 - 11th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2009
Y2 - 3 November 2009 through 6 November 2009
ER -