Scheduling for Distributed Applications in Mobile Cloud Computing

Abstract

Mobile networks processing and Cloud Computing Approach can integrated as a unit called as Mobile Cloud Computing (MCC). Recent trends for ubiquitous device technology have resultant in smart mobile devices as future computing device and service accessible devices. Subscribers are intended to execute computational intensive tasks on Smart Mobile Devices (SMDs) as like capable standalone computer. Although SMDs are having less computing capacity as having limited CPU power, certain storage capacity, memory constraints, and limited battery life. To come out from these problems, MCC provides latest practical solution to improve limitation of capacity by spreading services as well resources of clouds to SMDs based on requirements. Existing algorithms upload computational intensive applications to distinct data centers using various cloud models. The problem belongs with such algorithms is the scheduling of distributed applications with often needs on demand resources on SMDs. This paper describes Scheduling approach for distributed intensive applications for SMDs in MCC Environment. The aim of this paper is to describe problems and challenges with an existing algorithm in creating, executing, and testing computational concentrated applications in MCC. This paper highlights the hierarchy of existing scheduling approach and analysis of consequences as well as current framework for critical aspects has been proposed.