COMPUTATIONAL OPTIMIZATION IN CLOUD COMPUTING

Abstract

The arrival of cloud computing in recent years has attracted an interest from various users, organizations and institutes to take benefits of services and applications. Cloud computing offers on-demand availability of resources with high scalability. But as the number of internet users is increasing day by day, it gets quite difficult to handle the requests coming from millions of user. In such cases it is very common that the performance and availability of system goes down. This presented work discusses the design and implementation of system which does neural network based cloudlet classification and schedules them based on fuzzy based priority scheduling algorithm. This paper demonstrates that with this fuzzy based priority scheduling algorithm we can reduce the average waiting time and average turnaround time of cloudlets. The results are compared with conventional Priority based scheduling and First Come First Serve scheduling algorithms.