关键词: 云计算, 资源调度, 能耗, 双目标优化, 非支配排序遗传算法

Abstract: Under the cloud computing environment, it has become a significant problem to decrease the power consumption while the makespan is shortened in the process of scheduling resource. Thus, this paper made span and power consumption as the optimization objectives and established power-aware resource scheduling model, then improved the Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) by adopting special initialization and the learning algorithm, to solve the problem of power-aware scheduling. Consequently, the simulation results prove that the proposed scheduling algorithm not only shortens the makespan, but also decreases the power consumption effectively.

Key words: cloud computing, resource scheduling, power consumption, bi-objective optimization, Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ)