Genetic algorithm and ant colony algorithm based Energy-Efficient Task Scheduling
Jianfeng Zhao, Hongze Qiu · 2013
Task Scheduling is a critical problem in cloud computing platforms. Traditional algorithms mainly focus on shortening the makespan, but seldom mention the energy consumption. This paper proposes a duplication based method to reach multiple targets, including reducing the executing time and energy cost. The main algorithms used are genetic algorithm and ant colony algorithm, with a new dynamic fusion strategy proposed to gain the optimal solution quickly.