Load balancing in cloud computing using water wave algorithm

Cloud computing as of late is a rising innovation for giving various administrations through internet to fulfil the requisites of clients dependent on needs with minimal expense. The client can benefit all kind of administration without building, observing, and keeping up the assets. Researchers developed distinctive asset planning calculation to satisfy the client requisites as per their condition. This article proposes a Water Wave Algorithm (WWA) for resource scheduling in cloud environment. The results for throughput, Response time, Turnaround time, Migration time, Resource utilization, Fault tolerance, and scalability over FCFS, MCT, MET, and OLB algorithms and the results prove that WWA provides better results for throughput, response time, resource utilization, and scalability.