A complex adaptive system based on squirrels behaviors for distributed resource allocation

作者: Sergio Camorlinga , Ken Barker

DOI:

关键词: Distributed computingDistributed algorithmSwarm intelligenceReliability (computer networking)Resource allocationHoarding (animal behavior)Computer scienceComplex adaptive systemDistributed File SystemScalability

摘要: This paper introduces new general-purpose Complex Adaptive System (CAS) algorithms that solve the resource allocation problem in distributed systems. These CAS are based on squirrel natural behaviors and provide a novel metaphor. The Squirrels system is described together with its associated class architecture. A comprehensive set of experiments carried to corroborate our hypothesis Squirrel efficient system. hoarding mechanisms. scalability reliability obtained from maintained across wide variety characteristics. research work uses Peer-to-Peer Distributed File storage validate hypothesis.

参考文章(10)
Bonabeau E, Meyer C, Swarm intelligence. A whole new way to think about business. Harvard Business Review. ,vol. 79, pp. 106- ,(2001)
Yoshiyasu Nishibe, Toru Ishida, Kazuhiro Kuwabara, Tatsuya Suda, An equilibratory market-based approach for distributed resource allocation and its applications to communication network control Market-based control. pp. 53- 73 ,(1996)
M. A. Gibney, N. R. Jennings, Dynamic resource allocation by market-based routing in telecommunications networks intelligent agents. pp. 102- 117 ,(1999) , 10.1007/BFB0053947
Peter J. Deadman, Randy Gimblett, Edella Schlager, Simulating Common Pool Resource Management Experiments with Adaptive Agents Employing Alternate Communication Routines. Journal of Artificial Societies and Social Simulation. ,vol. 3, pp. 1- 2 ,(2000)
Anthony Chavez, Alexandros Moukas, Pattie Maes, Challenger: a multi-agent system for distributed resource allocation adaptive agents and multi-agents systems. pp. 323- 331 ,(1997) , 10.1145/267658.267736
M. Dorigo, V. Maniezzo, A. Colorni, Ant system: optimization by a colony of cooperating agents systems man and cybernetics. ,vol. 26, pp. 29- 41 ,(1996) , 10.1109/3477.484436
Alberto Montresor, Hein Meling, Özalp Babaoğlu, Messor: load-balancing through a swarm of autonomous agents AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing. pp. 125- 137 ,(2002) , 10.1007/3-540-45074-2_12
Carl Anderson, Nigel R Franks, Teams in animal societies Behavioral Ecology. ,vol. 12, pp. 534- 540 ,(2001) , 10.1093/BEHECO/12.5.534
O. Babaoglu, H. Meling, A. Montresor, Anthill: a framework for the development of agent-based peer-to-peer systems international conference on distributed computing systems. pp. 15- 22 ,(2002) , 10.1109/ICDCS.2002.1022238