A QOS guaranteed resource allocation in cloud computing based on selective algorithm

Abstract

Cloud computing has become a new age technology that has got a huge potentials in enterprises and markets. It involves over a distributed computing over a network where a program or application may run on many connected computers at the same time. As cloud based system has become more and more numerous and dynamic, resource provisioning is become more and more challenging. At the same time energy has become an issue in this days. So, here we discuss resource allocation constraints with the energy and QoS based. Here QoS is the major part and Energy is minor part but we tried to consider both at the same time. Now, Energy and QoS are both depends on resource utilization. This utilization parameter based on two terms but this energy and QoS are reverse proportional. So, if we need to reach an equilibrium state then we need to use some kind of heuristics method. Here we use game theoretic approach for reaching an equilibrium state for getting a QoS and Energy aware system. Basically resource allocation depends on job scheduling. Several existed job scheduling algorithms was implemented. This algorithms are selected according to SLA. This phenomena is known as automated service provisioning for cloud computing. In this paper we provide a well-known Selective Approach for job scheduling including two popular algorithms known as Max-Min and Min-Min scheduling.