Cooperative autonomic management in dynamic distributed systems

Jing Xu, Ming Zhao, José A B Fortes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages756-770
Number of pages15
Volume5873 LNCS
DOIs
StatePublished - 2009
Externally publishedYes
Event11th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2009 - Lyon, France
Duration: Nov 3 2009Nov 6 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5873 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2009
CountryFrance
CityLyon
Period11/3/0911/6/09

Fingerprint

Dynamic Systems
Distributed Systems
Overlay networks
Grid computing
Self-management
Managers
Topology
Overlay Networks
Information Sharing
Random Networks
Grid Computing
Self-organization
Adaptability
Complex Networks
Decentralized
Join
Prototype
Robustness
Demonstrate

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Xu, J., Zhao, M., & Fortes, J. A. B. (2009). Cooperative autonomic management in dynamic distributed systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5873 LNCS, pp. 756-770). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5873 LNCS). https://doi.org/10.1007/978-3-642-05118-0_52

Cooperative autonomic management in dynamic distributed systems. / Xu, Jing; Zhao, Ming; Fortes, José A B.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5873 LNCS 2009. p. 756-770 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5873 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xu, J, Zhao, M & Fortes, JAB 2009, Cooperative autonomic management in dynamic distributed systems. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5873 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5873 LNCS, pp. 756-770, 11th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2009, Lyon, France, 11/3/09. https://doi.org/10.1007/978-3-642-05118-0_52
Xu J, Zhao M, Fortes JAB. Cooperative autonomic management in dynamic distributed systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5873 LNCS. 2009. p. 756-770. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-05118-0_52
Xu, Jing ; Zhao, Ming ; Fortes, José A B. / Cooperative autonomic management in dynamic distributed systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5873 LNCS 2009. pp. 756-770 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{22c5ed2fa42c4673a8e0ea47603aeb63,
title = "Cooperative autonomic management in dynamic distributed systems",
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.",
author = "Jing Xu and Ming Zhao and Fortes, {Jos{\'e} A B}",
year = "2009",
doi = "10.1007/978-3-642-05118-0_52",
language = "English (US)",
isbn = "3642051170",
volume = "5873 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "756--770",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

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

VL - 5873 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 756

EP - 770

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -