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bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization
Kang Qinma; He Hong; Deng Rong
2012
SourceApplied Mathematics and Computation
ISSN963003
Pages-
English AbstractEffective task assignment is critical for achieving high performance in heterogeneous distributed computing systems. However, there is a possibility of processor and network failures and this can have an adverse impact on applications running on such systems. This paper proposes a new technique based on the honeybee mating optimization (HBMO) algorithm for static task assignment in the systems, which takes into account both minimizing the total execution and communication times and maximizing the system reliability simultaneously. The HBMO based approach combines the powers of simulated annealing, genetic algorithms, and an effective local search heuristic to search for the best possible solution to the problem under investigation within a reasonable computing time. We study the performance of the algorithm over a wide range of parameters such as the number of tasks, the number of processors, the ratio of average communication time to average computation time, and task interaction density of applications. The effectiveness and efficiency of our algorithm are manifested by comparing it with recently proposed algorithms from the literature. © 2012 Elsevier Inc. All rights reserved.
Indexed Typeei
Department(1) School of Information Engineering, Shandong University at Weihai, Weihai 264209, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
Language英语
WOS IDWOS:000310504500021
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/14737
Collection中国科学院软件研究所
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GB/T 7714
Kang Qinma,He Hong,Deng Rong. bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization[J]. Applied Mathematics and Computation,2012:-.
APA Kang Qinma,He Hong,&Deng Rong.(2012).bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization.Applied Mathematics and Computation,-.
MLA Kang Qinma,et al."bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization".Applied Mathematics and Computation (2012):-.
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