Improving Performance of Job Scheduling Algorithms in Cloud Computing Environment

Abstract

Scheduling in cloud computing is a system which is utilized to enhance general execution time of the job. A good scheduling algorithm can help in load balancing as well. Scheduling in cloud could be possible in three territories i.e. scheduling jobs within the virtual machine, Scheduling Virtual Machine on the host, and scheduling jobs to the Virtual Machine. The last scheduling i.e. scheduling the cloudlets to the virtual machine is implemented on both static and dynamic environments in this thesis. In this the jobs are intelligently scheduled to the best possible virtual machine so that the overall execution time can be reduced. The outcome proves that the proposed algorithm gives better result in comparison to the already used sequential algorithm.