Enhanced Improved Genetic Algorithm for Load Balancing in Cloud Computing

The cloud computing is the technology which has decentralized nature. Due to such unique nature of the network, load balancing is the major challenge. This research work is based on load balancing in cloud computing. In the previous research work, the improved genetic algorithm is applied for the load balancing but it is analyzed that it has high execution time and resource consumption. The enhancement in improved genetic algorithm is proposed which use less number of resources for the load balancing. The proposed algorithm is implemented in MATLAB and simulation results shows that proposed is efficient in terms of various parameter