Performance Analysis of Genetic Algorithm in Different Cloud Computing Environments

Cloud Computing is the inevitable emerging technology which thrives on managing the services to users in an effective manner. Providing those services requires an optimal solution for scheduling tasks to the resources within time bound. Genetic Algorithm (GA) is one of the scheduling algorithm which is based on evolutionary concept has been extensively studied in literature. In this paper, the performance of the Efficient Genetic Algorithm (EGA) is evaluated in different cloud computing environments. A comparison analysis revealed that EGA is more effective in heterogeneous environment as compared to homogeneous environment.