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- Title
Cloud resource scheduling method based on estimation of distribution shuffled frog leaping algorithm.
- Authors
ZHANG Heng-wei; WEI Bo; WANG Jin-dong; HE Jia-jing
- Abstract
Focusing on the problem of high efficiency resource scheduling in cloud computing environment, since current re source scheduling algorithm had been less given consideration to the shortest completion time and the least cost of the services, this paper designed the fitness function which could comprehensive response the time and cost, and proposed an estimation of distribution-shuffled frog leaping algorithm (EDSFLA). This algorithm redefined the evolutional operators of shuffled frog lea ping algorithm (SFLA), utilizing the cross operators of genetic algorithm, targeted in applying to scheduling problem with integer-coded. EDSFLA introduced evolutionary strategy of estimation of distribution to break the confine of search pattern in the standard SFLA, ad made the learning ability of this algorithm more comprehensive. Experimental results show that this algorithm has more capability in convergence and searching ability compared with the standard SFLA and EDA in solving cloud resource scheduling problems.
- Subjects
CLOUD computing; COMPUTER scheduling; GENETIC algorithms; ESTIMATION theory; PATTERN recognition systems; STOCHASTIC convergence; CODING theory; MATHEMATICAL programming
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, Vol 31, Issue 11, p3225
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2014.11.006