Rank based efficient task scheduler for cloud computing

Cloud data centers have become crucial infrastructure for computing and data storage that facilitate the development of varied services offered by the cloud. In every datacenter, thousands of virtual servers or virtual machines run at any instance of time which hosts many tasks and in parallel cloud system should keep receiving the batches of task requests. In this context, out of many powered on servers only few targeted servers should fulfill batch of incoming tasks. Hence, task scheduling is an important issue which greatly influences the performance of cloud. The main objective of the scheduling algorithms in cloud environment is to utilize the resources efficiently while balancing the load between resources, to get the minimum execution time. In this paper we designed a rank based efficient task scheduler which effectively utilizes resources and provides high performance than spaceshared and timeshared task schedulers. This algorithm has been tested using CloudSim toolkit and results were compared with spaceshared and timeshared task schedulers.