|2/2004 - 10|
Using Agent Technology Combined with ACO Metaheuristics on Load Balancing AlgorithmsMitica CRAUS, Catalin BULANCEA
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load balancing, agent, Ant Colony Optimisation, metaheuristic
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About this article
Date of Publication: 2004-04-02
Volume 4, Issue 2, Year 2004, On page(s): 55 - 59
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
Dynamic computing environments require adaptive algorithms for load balancing. To increase system flexibility, mobile agents are used for encapsulating tasks. During successive migration phases, those agents have the possibility to explore, to learn and to share information about load. Ant Colony Optimisation metaheuristic is used for routing tasks with high efficiency due to its capacity to store and to learn from systems history. Finally, this information is used in maintaining an equitable task load for each processing unit. MPI implementations were used to make simulations and comparisons with different deterministic nearest neighbour load balancing techniques. Results have shown some improvements in terms of convergence stability and task distribution compared with classical algorithms.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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