An autonomy-oriented paradigm for self-organized computing

Jiming LIU*, Chao Gao, Ning Zhong

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

A bottom-up computing paradigm, namely Autonomy-Oriented Computing (AOC), offers some principles and mechanisms for non-linearly solving computationally hard problems. The goal of this paper is to describe how AOC-based emergent computing can be realized in large-scale, dynamic, distributed and/or decentralized networks. A case study is given to demonstrate the main process and contribution of self-organization, the core of AOC, in a distributed local search algorithm.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2009
Pages100-103
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009 - Milano, Italy
Duration: 15 Sep 200918 Sep 2009

Publication series

NameProceedings - 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2009
Volume2

Conference

Conference2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009
Country/TerritoryItaly
CityMilano
Period15/09/0918/09/09

Scopus Subject Areas

  • Computer Networks and Communications
  • Software

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