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Journal Article

Citation

Salehi MA, Deldari H, Dorri BM. Informatica (Ljubljana) 2009; 33(2): 159-168.

Copyright

(Copyright © 2009)

DOI

unavailable

PMID

unavailable

Abstract

Load balancing is substantial when developing parallel and distributed computing applications. The emergence of computational grids extends the necessity of this problem. Ant colony is a meta-heuristic method that can be instrumental for grid load balancing. This paper presents an echo system of adaptive fuzzy ants. The ants in this environment can create new ones and may also commit suicide depending on existing conditions. A new concept called Ant level load balancing is presented here for improving the performance of the mechanism. A performance evaluation model is also derived. Then theoretical analyses, which are supported with experiment results, prove that this new mechanism surpasses its predecessor.


Language: en

Keywords

Adaptive fuzzy; Ant colonies; Ant colony; Computational grids; Data description; Existing conditions; Grid computing; Heuristic methods; Load balancing; Meta-heuristic methods; New mechanisms; Parallel and distributed computing; Performance evaluation models; Resource allocation; Agent-based resource Management system (ARMS); Natural resources management; New concept

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