Load Balancing Using Genetic Algorithm in Mobile Cloud Computing

Mobile Cloud Computing is a fast developing technology today that faces the dominant problem of load imbalance due to the high demand of mobile applications. There are lots of techniques available to solve the problem but the load balancing performance can be improved by using more optimized solution. This paper proposes a load balancing scheme based on Genetic Algorithm (GA). The algorithm advances to balance the load of the mobile cloud infrastructure while trying to minimize the processing time or responsiveness of tasks with reduced number of migrations of virtual machines and improving the resource utilization by dividing the computing capacity of a datacenter into n number of virtual machines executing the number of requests at the same time and thereby improving the performance. The proposed load balancing scheme has been implemented using the cloudsim simulator. The simulation results show the efficiency and effectiveness of the proposed algorithm.