A power-aware ACO algorithm for the cloud computing platform
Wuyang Yan, Jianxin Chen, Lianwan Li · 2018
Cloud computing provides a variety of services. However, the data center for cloud computing consumes a lot of power. Reducing the power consumption of data center is very important. In this paper, we propose a Power-aware ACO algorithm for the cloud computing platform, which optimizes the ACO algorithm with the goal of minimizing power consumption. In order to solve the problem of too many hosts for migration that the classic ACO cannot solve, we treat the idle hosts and active hosts differently. Together with the initialization based on the modified Power-aware Best Fit Decreasing algorithm, our Power-aware ACO can handle VM migration problems no matter there are too many hosts or not. The simulation results show that our Power-aware ACO is able to reduce 20% and 91% power consumption compared with VMP-ACO in two different circumstances. In addition, our algorithm is also proved to be stable and reliable after different tests with various initial conditions.