Topology configuration

The remainder of this paper is organized as follows. First, we analyze battery data collected from 41 laptop users over a period of roughly 7 months. Our primary finding is that laptop users are often plugged into a power outlet during periods of active use. Based on this finding, we evaluate a battery-aware modification of Gnutella. Our results show that this algorithm consumes significantly less battery than the standard Gnutella algorithm and still ensures that over half the network can participate in maintenance tasks over 90 percent of the time.

The goal of this work is to understand the usage patterns of battery-powered devices and analyze the impact of those patterns on collaborative applications. Our analysis is based on data collected by 41 laptop users during the months of January through August 2007. Unlike topology configuration that either collect data at a central collection point, such as a base station [11], or ask users to carry specialpurpose devices for data collection [15], we asked the participants to install our data collection software on their personal laptop computers. As a result, we were able to gather a significant amount of information about the real usage patterns of our participants.