Differentiated policy based job scheduling with queue model and advanced reservation technique in a private cloud environment

Abstract

Cloud Computing can be viewed as a computing model containing a pool of resources and Internet based application services. Cloud makes on-demand delivery of these computational resources (data, software and infrastructure) among multiple services via a computer network. An infrastructure-as-a-service cloud system provides computational capacities to remote users. In present scenario, most of the Infrastructure as a Service (IaaS) Clouds use simple resource allocation policies like immediate and best effort. In private cloud, since the resources are limited, maximizing the utilization of resources and giving the guaranteed service for the user are the ultimate goal. Hence efficient scheduling is needed which is a major challenge in satisfying the user's requirement (QoS). In this paper, we propose an advanced reservation technique with backfilling in scheduling policy that aims at serving the user requests by satisfying the required QoS, achieving the guaranteed service for the request by making an efficient provisioning of cloud resources. © 2013 Springer-Verlag.