Resource Scheduling in Cloud Computing Based on Firefly Algorithm

In order to improve the utilization ratio of virtual machine resource, and then realize reasonable scheduling of it. In this paper, we propose a novel cloud computing resource scheduling optimization approach based on firefly algorithm. Firstly, mathematical model is built according to virtual machine resource scheduling problem. Then, considering the optimal time span and load function, we propose improved firefly algorithm, named selective elimination and decision domain strategy of firefly algorithm (SDFA) and use the SDFA to search the optimal scheme. Finally, we use the CloudSim platform to evaluate the effectiveness of our proposed approach. Experimental results show that our proposed approach can obtain good scheduling scheme to ensure load balance of virtual machine resource, which can meet the user's preferences.