基于萤火虫算法的虚拟机部署能效优化策略

综合考虑数据中心能耗、应用SLA违例及虚拟机迁移量的均衡优化,提出一种基于萤火虫算法的虚拟机部署优化策略。建立虚拟机部署优化的目标函数与约束条件,利用装箱思想对虚拟机部署进行抽象,设计基于萤火虫算法的虚拟机部署优化方法,通过萤火虫种群初始化、萤光素更新、萤火虫移动以及局部半径范围更新4个阶段的最优解搜索过程,实现虚拟机部署能效优化。实验结果表明,该算法可以通过虚拟机重部署实现数据中心能耗与性能的均衡优化。

Virtual machine placement energy-efficient optimization based on glowworm swarm optimization algorithm

For considering synthetically the trade-off optimization of the energy consumption in data center,SLA violation of applications and the number of virtual machine migration,a virtual machine placement optimization strategy based on glowworm swarm optimization algorithm was presented. The objective function and the corresponding constraints of the virtual machine placement were established. The bin-packing idea was used to abstract the virtual machine placement problem. A virtual machine placement optimization method based on glowworm swarm optimization algorithm was designed. A four-stage optimal searching process was used,including the population initialization of glowworm swarm,updating the luciferin,the movement of glowworm and updating the local radius range,to complete the optimal virtual machine placement. Experimental results show that the proposed algorithm can trade-off the energy consumption of data center and the performance of applications by the re-placement of virtual machines.