Software Investigate

A Battery-Aware Algorithm for Supporting Collaborative Applications

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Executive Summary

There are several significant ways in which the ubiquity of battery-powered devices impacts the field of collaborative computing. First, applications such as collaborative data gathering become possible. Also, existing applications that depend on collaborating devices to maintain the system infrastructure must be reconsidered. The problem is that collaborative applications often require end-user devices to perform background tasks that are not directly advantageous to the user. In this paper, the authors seek to better understand how laptop users use their batteries and explore the cost associated with using a laptop in a common peer-to-peer network - Gnutella. Based upon their findings, they evaluate a battery-aware alternative to Gnutella's ultra-peer selection algorithm.

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