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Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'04)
Analysis of Wide Area User Mobility Patterns
Lake District National Park, United Kingdom
December 02-December 03
ISBN: 0-7695-2258-0
Kevin D. Simler, Massachussetts Institute of Technology and University of California at Berkeley
Steven E. Czerwinski, Google and University of California at Berkeley
Anthony D. Joseph, University of California at Berkeley
In this paper, we present an analysis of user behavior and mobility patterns based on a trace of accesses to a department e-mail server. In contrast to previous studies, we consider a single service and examine how a user community connects to it while moving across a variety of different service providers? wireless and wired networks. By measuring an e-mail service, one that users access often, we were able to monitor a large number of sessions originating from a diverse set of locations. Our contributions include: a unique approach to extracting user mobility information from traces of client application interactions; a novel approach to modeling user behavior and mobility; and a demonstration of how such models can be used to generate synthetic traces. Overall, although some users are highly mobile, we find most users have a low degree of mobility — 70% of users access their e-mail from 2 or fewer unique locations. We also find that our observed session times are longer than those reported by previous mobility studies in wireless networks.
Citation:
Kevin D. Simler, Steven E. Czerwinski, Anthony D. Joseph, "Analysis of Wide Area User Mobility Patterns," wmcsa, pp.30-40, Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'04), 2004
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