Enhancement of parallel scheduling using the prioritized queuing technique for cloud sensor network

Cloud computing shares a large scale resource, storage, application and all kinds of information over a network. The cloud has to effectively schedule the requests from the customers with the available resources. Though parallel scheduling has shown a difference in maximizing the utilization cloud resources, the resource demands keep on increasing. The cloud is in the need of a better parallel scheduling algorithm to overcome the deficiencies of the existing algorithms. This paper proposes Prioritized Parallel Task Scheduling (PPTS) algorithm, which is designed to manage high priority queue and low priority queue. PPTS algorithm reduces 5%-10% of turn around time and increases node utilization up to 20%, when compared to the existing ones. This paper compares the resource utilization efficiency between AMCBF algorithm and PPTS algorithm. Copyright © 2015 American Scientific Publishers.