PSO Based Approach in a Hybrid Gaming Environment for Effective Load Distribution in Cloud Computing

Abstract: Online gaming is one of the major sectors in the business environment. Through the internet and the networks these types of games became very popular in the society. Considering this gaming in cloud environment with the cloud and peer nodes, greedy strategies is used to set up a better utilization among these nodes. But by using the greedy approaches the execution time of the corresponding system will increase. In this paper we propose a better optimization technique called particle swarm optimization (PSO). The major role is to reduce the execution time of the system. So this work proposes a hybrid distributed gaming environment for an effective utilization of the cloud and peer nodes and also to reduce the execution time of this execution time.

Keywords: Cloud computing, Load distribution, Distributed virtual environments, Online gaming.