Context aware energy conservation in pervasive computing environments

Cyber foraging or remote resource exploitation may be an efficient way to deal with this problem in a pervasive computing environment. Mobile devices can save battery power by migrating tasks to a nearby wired infrastructure or to other wireless devices in the environment with higher battery capacity and processing power. However, this process requires considerable automation to minimize energy consumption and user distraction. Also, a pervasive computing environment is highly dynamic and the contexts in the environment change rapidly as devices enter and leave the network. Thus, it is important that the devices are aware of the changing context and adapt to these changes accordingly. This leads to the challenge of how the devices would detect these changes and secondly how they would adapt to these changes after they are detected.; A middleware service framework has been developed and deployed over a network of machines that exploit remote resources. The framework adopts a context-aware approach to make intelligent decisions on task migration and uses the achievable throughput in an end-to-end path as the context. The throughput achievable to each of the remote devices is measured and stored, and this is used to examine the trade-off between communication power expenditures and the power cost of local processing.; For a set of tasks, energy savings of up to 43% are achieved through this process of context aware energy conservation. (Abstract shortened by UMI.)...