ISCAS OpenIR
Task assignment for minimizing application completion time using honeybee mating optimization
Kang, Qinma; He, Hong
2013
SourceFRONTIERS OF COMPUTER SCIENCE
ISSN2095-2228
Volume7Issue:3Pages:404-415
English AbstractEffective task assignment is essential for achieving high performance in heterogeneous distributed computing systems. This paper proposes a new technique for minimizing the parallel application time cost of task assignment based on the honeybee mating optimization (HBMO) algorithm. The HBMO approach combines the power of simulated annealing, genetic algorithms, and an effective local search heuristic to find the best possible solution to the problem within an acceptable amount of computation time. The performance of the proposed HBMO algorithm is shown by comparing it with three existing task assignment techniques on a large number of randomly generated problem instances. Experimental results indicate that the proposed HBMO algorithm outperforms the competing algorithms.; Effective task assignment is essential for achieving high performance in heterogeneous distributed computing systems. This paper proposes a new technique for minimizing the parallel application time cost of task assignment based on the honeybee mating optimization (HBMO) algorithm. The HBMO approach combines the power of simulated annealing, genetic algorithms, and an effective local search heuristic to find the best possible solution to the problem within an acceptable amount of computation time. The performance of the proposed HBMO algorithm is shown by comparing it with three existing task assignment techniques on a large number of randomly generated problem instances. Experimental results indicate that the proposed HBMO algorithm outperforms the competing algorithms.
Indexed TypeSCI
KeywordHeterogeneous Distributed Computing Task Assignment Task Interaction Graph Honeybee Mating Optimization Meta-heuristics
Department[Kang, Qinma; He, Hong] Shandong Univ, Sch Informat Engn, Weihai 264209, Peoples R China. [Kang, Qinma] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China.
Language英语
WOS IDWOS:000320775200007
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16928
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Kang, Qinma,He, Hong. Task assignment for minimizing application completion time using honeybee mating optimization[J]. FRONTIERS OF COMPUTER SCIENCE,2013,7(3):404-415.
APA Kang, Qinma,&He, Hong.(2013).Task assignment for minimizing application completion time using honeybee mating optimization.FRONTIERS OF COMPUTER SCIENCE,7(3),404-415.
MLA Kang, Qinma,et al."Task assignment for minimizing application completion time using honeybee mating optimization".FRONTIERS OF COMPUTER SCIENCE 7.3(2013):404-415.
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