A Context-Aware and Mobility-Aware Offloading Framework for Mobile Ad Hoc Cloud Environments

Abstract

This study was conducted to tackle the problem of mobility and context-aware decision-making to improve the performance and efficiency of the mobile cloud. A Context-Aware Decision framework was implemented on the Android platform to make context-aware decisions. The context data gathered from the mobile devices’ sensors were used to make decisions that improved energy efficiency and reduced the execution time. The parallel execution of tasks, selection of optimal mobile devices, and the incorporation of the Handoff algorithm improved execution time and reduced energy consumption when computation was offloaded. The results showed that the adopted methodology achieved about 94.5 % and 66.6 % reduction in the frequency of reassignment of tasks when compared with the Random Device Selection (RDS) and Optimal Device Selection (ODS) frameworks respectively.