Journal
INTELLIGENT AUTOMATION AND SOFT COMPUTING
Volume 19, Issue 1, Pages 69-84Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/10798587.2013.771438
Keywords
Meta-heuristics; Task assignment; Heterogeneous distributed computing; Task interaction graph; Honeybee mating optimization
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Effective task assignment is essential for achieving high performance in heterogeneous distributed computing systems. This paper proposes a new technique based on the honeybee mating optimization (HBMO) algorithm for solving the problem with the objective of minimizing the total execution and communication costs. We discuss the adaptation and implementation of the HBMO search strategy to the task assignment problem. Through simulations over a wide range of parameters, we demonstrate the performance of our method by comparing it with three existing task assignment techniques from the literature.
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