Selective Grid Access for Energy-Aware Mobile Computing

Conservation of battery power is one of the main issues in mobile computing. In this paper, we propose to exploit a grid infrastructure to extend the battery life of mobile devices based on the contexts of mobile applications, devices, and grid systems. In doing so, we present a framework, called SGA (selective grid access), to optimally utilize the limited resources of mobile devices and grids. SGA aims to reconfigure the placement of mobile applications on either the mobile device or grid nodes and to adjust QoS level according to the current context of the residual energy and the resource availability of the grids. Simulation-based experiments show that as the number of applications increases, the SGA-based scheme greatly reduces the energy consumption and response time in comparison with the traditional proxy-based approach.