Energy efficient approach for application execution in mobile cloud IoT environment

Abstract

Smart mobile devices (SMD) are able to provide different services to the users with minimum delay. Generally, the users are not aware of the complexity of the applications over which they are expecting fast response. SMD are constrained by their processing speed, storage capacity and many other resources, therefore, to make them to perform well with different types of applications, the concept of mobile cloud is used. Internet of Things (IoT) provides dynamic control and monitoring of energy resources enabling stakeholders to save energy usage at granular levels. With the advancement of IoT technologies and mobile cloud, a new concept is developed called as mobile cloud IoT (MCIoT) which is the convergence of both. The main objective of MCIoT is to provide the sufficient resources to the application so that the application can be executed without any deficiencies. When an application is partitioned complex part is on the cloud and rest is on the SMD, the battery life of the SMD highly improves. In this paper, we have presented an analytical model in MCIoT environment to represent the appropriate partition rate which effects execution time and energy consumption on SMD and cloud. The experiments are conducted on the bases of varying partition rate, bandwidth and data size of an application. Further, the impact of these parameters are analysed over the residual energy of SMD.