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An Ant Colony Optimization for Grid Task Scheduling with Multiple QoS Dimensions

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4 Author(s)
Jing Hu ; Sch. of Software, Dalian Univ. of Technol., Dalian, China ; Mingchu Li ; Weifeng Sun ; Yuanfang Chen

Task scheduling and quality of service (QoS) are two curial problems in grid computing. Focusing on the meta-task with QoS requirements, this work presents an ant colony optimization for grid task scheduling with multiple QoS dimensions (QACO). The proposed algorithm considers five kinds of QoS dimensions: time, reliability, version, security and priority which are transformed to utility as the heuristic information of the algorithm. The objective of the algorithm is maximizing the total utility. Simulation studies compare the performance of QACO, QoS-Min-Min and the improved Min-Min. Simulation results shown that QACO finds the best results.

Published in:

Grid and Cooperative Computing, 2009. GCC '09. Eighth International Conference on

Date of Conference:

27-29 Aug. 2009

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