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Published in:
2006 | OriginalPaper | Chapter
Process Scheduling Using Ant Colony Optimization Techniques
Authors : Bruno Rodrigues Nery, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, Laurence Tianruo Yang
Published in: Parallel and Distributed Processing and Applications
Publisher: Springer Berlin Heidelberg
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The growing availability of low cost microprocessors and the evolution of computing networks have enabled the construction of sophisticated distributed systems. The computing capacity of these systems motivated the adoption of clusters to build high performance solutions. The improvement of the process scheduling over clusters originated several proposals of scheduling and load balancing algorithms. These proposals have motivated this work, which defines, evaluates and implements a new load balancing algorithm for heterogeneous capacity clusters. This algorithm, named Ant Scheduler, uses concepts of ant colonies for the development of optimization solutions. Experimental results obtained in the comparison of Ant Scheduler with other approaches investigated in the literature show its ability to minimize process mean response times, improving the performance.