Abstract
Using bio-inspired agents to reorganize resource has been adopted to address the distributed resource optimization issue in distributed networks. This paper presents a self-organization algorithm to reorganize resources by the use of autonomous agents which can exchange their resources each other. Agents are equipped with two operations (pull and push operation) and three behaviors (best selection, better selection and random selection). And at every moment, agents probabilistically choose a behavior to perform. Experimental results indicate that the strategy has a positive influence on system performance.
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Guo, X., Huang, Jj. (2012). A Self-organization Method for Reorganizing Resources in a Distributed Network. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_35
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DOI: https://doi.org/10.1007/978-3-642-35236-2_35
Publisher Name: Springer, Berlin, Heidelberg
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