期刊
CYBERNETICS AND INFORMATION TECHNOLOGIES
卷 14, 期 1, 页码 25-39出版社
INST INFORMATION & COMMUNICATION TECHNOLOGIES-BULGARIAN ACAD SCIENCES
DOI: 10.2478/cait-2014-0003
关键词
Scheduling algorithm; cloud workflow; discrete particle swarm; evolution equation
资金
- National Natural Science Foundation of China [61202163]
- Natural Science Foundation of Shanxi Province [2013011017-2]
- Technology Innovation Project of Shanxi Province [2013150]
- Xinzhou Teachers University [XK201308]
In order to solve the problems of security threats on workflow scheduling in cloud computing environments, the security of tasks and virtual machine resources are quantified using a cloud model, and the users' satisfaction degree with the security of tasks assigned to the virtual resources is measured through the similarity of the security cloud. On this basis, combined with security, completion time and cost constraints, an optimized cloud workflow scheduling algorithm is proposed using a discrete particle swarm. The particle in the particle swarm indicates a different cloud workflow scheduling scheme. The particle changes its velocity and position using the evolution equation of the standard particle swarm algorithm, which ensures that it is a feasible solution through the feasible solution adjustment strategies. The simulation experiment results show that the algorithm has better comprehensive performance with respect to the security utility, completion time, cost and load balance compared to other similar algorithms.
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