We describe a new approach to power saving and battery life extension on an untethered laptop through wireless remote processing of power-costly tasks. We ran a series of experiments comparing the power consumption of processes run locally with that of the same processes run remotely. We examined the trade-off between communication power expenditures and the power cost of local processing. This paper describes our methodology and results of our experiments. We suggest ways to further improve this approach, and outline a software design to support remote process execution.

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Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implementation of Panda, and provides data on the overheads incurred and performance benefits achieved. The paper also discusses some of the key issues of automatically and transparently intercepting data streams and converting them into active streams, including interception mechanisms, automated planning facilities, and allowing user and application control of the middleware.

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Abstract. Active networks and adaptive middleware can improve network service through data adaptation and data rerouting. Automated distribution of adapters is desirable, because choosing proper adapters (from a large set) to handle arbitrary network conditions is complex. The paper presents an automated planning system that helps an active network system choose adapters and their locations. The paper describes the design and implementation of this system and provides performance data on its costs and benefits.