Enhancing cloud performance using task scheduling strategy based on resource ranking and resource partitioning

Abstract

Cloud computing is one of the emerging models adopted in business organizations, IT Companies and mobile computing applications. Resources provisioned by cloud can be leased and utilized by clients remotely rather than purchasing it. An efficient allocation of resources is the key issue in the dynamic cloud environment due to the rapid increase in resource demand. Researchers in the literature have proposed various techniques which significantly improve the efficiency of cloud resource allocation, but still more ideal solutions are required. In this paper a resource allocation technique based on resource ranking and resource partitioning is proposed to enhance cloud performance and ensure QoS delivery. The proposed method achieved an efficient resource allocation in terms of response time and expected QoS delivery through resource ranking, resource partitioning and task classification. Simulation result of the proposed method outperforms the existing resource allocation methods.