基于IFWA-ABC的云计算资源任务调度算法的研究

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-06-19 Cooperative journals: 《计算机应用研究》

陈暄 王大伟 王常亮 龙丹

Abstract： Due to the low efficiency of cloud computing resource task scheduling and uneven resource allocation, this paper combined the improved fireworks algorithm and artificial bee colony algorithm into IFWA-ABC. Firstly, this paper described the cloud computing resource task scheduling. Secondly, it used the chaotic reverse learning and Cauchy distribution to optimize the FWA initialization. The radii of the core fireworks and the non-core fireworks are optimized respectively. The optimal individuals in the FWA are obtained by improving the ABC algorithm. Finally, the IFWA-ABC algorithm is used for cloud computing task scheduling. In the simulation experiment, IFWA-ABC has obvious advantages compared with FWA and ABC in terms of virtual machine, execution time, consumption cost and Energy consumption index, which can effectively improve cloud computing resource allocation efficiency.

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