A Scalable Solution to the Wireless Personal Cloud Service Providers to Allocate Maximize Resources to Users

Abstract

Cloud service providers face challenges regarding performance and pricing. Cloud service consumers need to minimize the execution time without exceeding a given budget. This leads to umpteen numbers of challenges that includes choosing a job to admit, the time t which to run them, to accomplish them in a single or multiple systems and the total number of resources to be rented to the service providers. In this paper, a three-tier cloud structures such as infrastructures vendors, service providers and consumers with Software as a Service (SaaS) are considered. The proposed algorithm is intended in such a way that it can confirm that the SaaS providers can attain the modification that takes place dynamically for customers and also mapping the client's needs to that of the parameters of the infrastructure level. A numerous service request from a number of clients has been emphasized in this paper which is called as the scheduling. A service provider takes up the wanted resources from the infrastructure of cloud vendors and makes those resources as an established service. This is done by the technique of virtual machine (VM) image. Then the instances from these VM images are created dynamically by the providers.