A Mobile-Cloud Paradigm for Constraint-less Computing

The cloud computing paradigm offers Dynamic and On-demand resources to the broad types of end users. The users having diverse capabilities to access or work with cloud resources like from Desktop, mobile phone etc. Now a days Mobile owned users are increasing rapidly hence the mobile community turns to be a good user base for cloud applications. The mobile user environment is inherently resource constrained , hence it is more advantageous to follow cloud computational paradigm for mobile workloads. This new model of combination is treated as Mobile-Cloud Paradigm or Mobile Cloud Computing(MC2). The cloud gives required resources for a mobile user service request to process it on demand through the rich network connectivity. The Mobile-Cloud paradigm could be formed by two ways as mobile station simply acts as interface to the cloud and mobile device itself is part of the mobile cloud. The second approach is more interesting for mobile application processing like location enabled services. In this paper we present a framework which works for mobile-cloud data processing using optimized cloud data processing algorithm for mobile work loads. Finally presents the results taken from the run times of different segments of the framework to evaluate the algorithm.