Dynamic Load Management in Cloud Computing Environment

Abstract: The hidden significance of Cloud Computing is entering or storing or sharing the data on the web. In familiar scheme, cloud computing is scattering and rising day by day and become most significant factor in business both government or private industries. Though it also has some vital issues such as load management, security and fault tolerance to be resolved in order to progress reliability of cloud environment. This paper discuss on the load balancing concern in cloud computing. Many technique to resolve this load balancing problem has been projected such as Particle Swarm Optimization, Hash method, Ant Colony optimization, Pareto Distribution, Genetic algorithms and several scheduling based algorithms. In this paper we are recommend two algorithms to provide efficient load balancing in a multiple cloud environment. Both the proposed method has been implemented using Windows Azure Framework.

Keywords: Cloud Computing, Load Balancing, Comparison of load balancing algorithms