Kevin Simler - Academia.edu (original) (raw)
Address: New York, New York, United States
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In this paper, we present an analysis of user behavior and mobility patterns based on a trace of ... more 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 we were able to monitor a large number of sessions originating from a diverse set of locations because e-mail is one of the few services that users habitually access. 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.
In this paper, we present an analysis of user behavior and mobility patterns based on a trace of ... more 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 we were able to monitor a large number of sessions originating from a diverse set of locations because e-mail is one of the few services that users habitually access. 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.