An Analytical Model for Dynamic Resource Allocation Framework in Cloud Environment
Nitin Kumar, Shalini Agarwal, Babasaheb Bhimrao · 2014
Cloud computing has emerged as the most popular paradigm for on-demand, pay-per-use model of computing. The software, platform and infrastructure as a service model will become the most popular mode of getting computing resources by common users. There has been growing research interest in managing the cloud of resources so as to achieve optimum utilization of resources along with desired quality of service. In the present scenario there is much scope of research in mapping users’ request to appropriate servers in cloud computing environment. In this paper, the authors propose an analytical model that maps dynamic users’ request to physical servers in the cloud that is based on a fixed charge mutli-index transportation problem. Thus a multi-index transportation Problem Cloud Resource Scheduler (MTPCRS) mechanism with mathematical formulation is developed along with a numerical example. A Multi- Indexed Cloud Resource Scheduling Algorithm (MICRSA) is also given in order to calculate the total cost of processing the service requests. With the help of sequence diagram and business process diagram it is shown that the model is simple to implement and produces an efficient and cost effective resource allocation plan for satisfying users’ requests.