A distributed immunization strategy based on autonomy-oriented computing

Jiming LIU*, Chao Gao, Ning Zhong

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In recent years, immunization strategies have been developed for stopping epidemics in complex-network-like environments. So far, it remains to be difficult for the existing strategies to deal with distributed community networks, even though they are ubiquitous in the real world. In this paper, we propose a distributed immunization strategy based on the ideas of self-organization and positive feedback from Autonomy-Oriented Computing (AOC). The AOC-based strategy can effectively be applied to handle large-scale, dynamic networks. Our experimental results have shown that the autonomous entities deployed in this strategy can collectively find and immunize most of the highly-connected nodes in a network within just a few steps.

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 18th International Symposium, ISMIS 2009, Proceedings
Pages503-512
Number of pages10
DOIs
Publication statusPublished - 2009
Event18th International Symposium on Methodologies for Intelligent Systems, ISMIS 2009 - Prague, Czech Republic
Duration: 14 Sep 200917 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5722 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Symposium on Methodologies for Intelligent Systems, ISMIS 2009
Country/TerritoryCzech Republic
CityPrague
Period14/09/0917/09/09

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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