Improvised Bat Algorithm for Load Balancing-Based Task Scheduling

The development of computing system has always focused on performance improvements driven by the demand of applications by customers, scientific and business domain. Cloud computing has emanated as a new trend as well as required domain for the efficient usage of computing systems. As the applications operating in cloud environments are becoming popular, the load is also rising on the servers and the traffic is increasing rapidly. In this paper, a new metaheuristic algorithm has been discussed known as improvised Bat algorithm and the case study of it is explained with proper example. The improvised Bat algorithm works on Min-Min, Max-Min and Alpha-Beta pruning algorithm for population generation and then uses the Bat algorithm for determining the sequence of execution of tasks to keep it minimum.