A Hybrid ACHBDF Load Balancing Method for Optimum Resource Utilization In Cloud Computing

Cloud computing provides computing resources to cloud on demand based and concept is pay per use”. Cloud computing mainly focused on optimistic resource utilization in less cost efforts. Now these days cloud computing technology are utilized by most of the IT companies and business organizations. It increase number cloud users as well as computing resources which creates challenges for cloud service providers to maintain optimum utilization of computing resources. Task scheduling methods play an important role in cloud computing. A scheduling machine helps in allocation of virtual machine to a user task and to maintain the balancing between machine capacity and total task load. Different task scheduling methods are suggested by cloud researchers. In this research work we are presenting a hybrid ACHBDF (Ant colony, Honey bee with dynamic feedback) load balancing method for optimum resource utilization in cloud computing. Proposed ACHBDF method uses the combined strategy of two dynamic scheduling methods with dynamic time step feedback method. Proposed ACHBDF utilizes the quality of ant colony method and Honey bee method in efficient task scheduling. Here feedback strategy helps to check system load after each phenomena in dynamic feedback table. This helps in migration of task more efficiently in less time. An experimental analysis in between existing ant colony optimization, honey bee method and Proposed ACHBDF clearly shows that proposed ACHBDF performs outstanding over existing method.