Long-term Location Data Management for Distributed Moving Object Databases

Authors:
Ho Lee;Jaeil Hwang;Joonwoo Lee;Seungyong Park;Chungwoo Lee;Yunmook Nah;Segil Jeon;Moon Hae Kim
Affiliations:
Dankook University, Korea;Dankook University, Korea;Dankook University, Korea;Dankook University, Korea;Dankook University, Korea;Dankook University, Korea;Konkuk University, Korea;Konkuk University, Korea
Venue:
ISORC '06 Proceedings of the Ninth IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing
Year:
2006

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Abstract

To handle the extreme situation that must manage positional information of a very large volume, at least millions, of moving objects, a cluster-based scalable distributed computing system architecture, called the GALIS, which consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone, was proposed. In this paper, we propose a valid time management and time-zone shifting scheme, which are essential in realizing the long-term location data subsystem of GALIS, but missed in our previous prototype development. We explain how to manage valid time of moving objects to avoid ambiguity of location information. We also describe time-zone shifting algorithm, with three variations, such as RT-TZS, B-TZS and TPB-TZS. Through experiments related with query processing time and CPU utilization, we show the efficiency of the proposed time-zone shifting schemes.