Resource Scheduling Simulation Design of Firefly Algorithm Based on Chaos Optimization in Cloud Computing

Abstract

The problem of resources under the environment of cloud computing has always been the focus of research. In this paper, the Artificial Firefly Algorithm is studied, on the basis of which the chaos algorithm is introduced to improve the algorithm with regard to the problem of the subsequent search and optimization precision deficiency cause by the lack of initialization of firefly position in the firefly algorithm. Meanwhile, the updating of luciferin is improved. The improved algorithm is enhanced greatly in accuracy and performance. Through the simulation platform Cloudsim, it is found that under the cloud computing model, the algorithm presented in this paper can effectively reduce the average time spent by subtasks in processing request tasks, and thus improve the efficiency of task processing and achieve a rational allocation of resources.