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MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile System (2004)
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| Venue: | In EDBT |
| Citations: | 105 - 9 self |
BibTeX
@INPROCEEDINGS{Gedik04mobieyes:distributed,
author = {Bugra Gedik and Ling Liu},
title = {MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile System},
booktitle = {In EDBT},
year = {2004},
pages = {67--87}
}
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Abstract
Location monitoring is an important issue for real time management of mobile object positions. Significant research efforts have been dedicated to techniques for efficient processing of spatial continuous queries on moving objects in a centralized location monitoring system. Surprisingly, very few have promoted a distributed approach to real-time location monitoring. In this paper we present a distributed and scalable solution to processing continuously moving queries on moving objects and describe the design of MobiEyes, a distributed real-time location monitoring system in a mobile environment. Mobieyes utilizes the computational power at mobile objects, leading to significant savings in terms of server load and messaging cost when compared to solutions relying on central processing of location information at the server. We introduce a set of optimization techniques, such as Lazy Query Propagation, Query Grouping, and Safe Periods, to constrict the amount of computations handled by the moving objects and to enhance the performance and system utilization of Mobieyes. We also provide a simulation model in a mobile setup to study the scalability of the MobiEyes distributed location monitoring approach with regard to server load, messaging cost, and amount of computation required on the mobile objects.
Keyphrases
continuously moving query mobile system mobile object real-time location monitoring centralized location monitoring system scalable solution mobile setup real time management mobile object position distributed approach lazy query propagation optimization technique safe period distributed real-time location monitoring system spatial continuous query significant research effort efficient processing mobile environment server load query grouping significant saving computational power simulation model important issue system utilization location monitoring location information central processing location monitoring approach
