Load Balancing Algorithm to Reduce Make Span in Cloud Computing by Enhanced Firefly Approach

Cloud computing provides essential environments and services to the organizations through cloud service and its often splendid choice for individual to enterprises. Cloud Servers places an important role to integrate the environment may remotely located in several areas owned by somebody else and own. These are fully managing environment to execute applications in easy, elasticity and dynamic way, either remotely located or employed by users keep with their requirements. Today researchers provide numerous ways to unravel additional challenges in Resource sharing and load Balancing. Load Balancing allows distributing the work load among all the cloud servers evenly to form sure optimization of resource allocation. Load Balancing algorithm developed by using Bio-inspired intelligent firefly approach through the strong ability of worldwide searching. Firefly approach used to develop a solution for Meta heuristic problem like load balancing. Enhanced Firefly algorithm developed by adopting the essential concepts of Firefly approach. Search capability increased to understand global optimized solution by enhanced firefly feedback mechanism and communications. Enhanced Firefly Approach (EFA) evaluated in Cloudsim simulation environment to retrieve execution time, make span time and number of migrations etc. less variance value proves its efficiency. The Results are compared with existing traditional firefly load balancing algorithms, supported the result value of objective function meets the user's requirements and proved its performance.