An Autonomy-Oriented Paradigm for Self-Organized Computing

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 d...

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Vydáno v:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 Ročník 2; s. 100 - 103
Hlavní autoři: Liu, Jiming, Gao, Chao, Zhong, Ning
Médium: Konferenční příspěvek
Jazyk:angličtina
japonština
Vydáno: Washington, DC, USA IEEE Computer Society 2009
IEEE
Edice:ACM Conferences
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ISBN:0769538010, 9780769538013
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Shrnutí: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.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.136