A Cluster-Based TMO-Structured Scalable Approach for Location Information Systems

Location-based service (LBS) systems have recently become a subject of active research and development. A key issue in such systems is efficient management of current and past location information of moving items. In the past two years, we have been establishing a new LBS system architecture, named...

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Published in:2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems p. 225
Main Authors: Yunmook Nah, Kim, Taehyung Wang, Moon Hae Kim, Jonghoon Lee, Young Kyu Yang
Format: Conference Proceeding
Language:English
Published: IEEE 2003
Subjects:
cluster
Computer architecture
distributed computing
Distributed databases
GALIS
History
Indexing
location-based service
moving item
Real time systems
scalability
Servers
TMO
update
ISBN:0179520545
Online Access:Get full text
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Abstract Location-based service (LBS) systems have recently become a subject of active research and development. A key issue in such systems is efficient management of current and past location information of moving items. In the past two years, we have been establishing a new LBS system architecture, named the GALIS (Gracefully Aging Location Information System), which is based on the new approach of using a cluster of database server nodes and effecting efficient distributed and parallel computing in both real-time update of location records of moving items and processing of location-related queries. Each server node is dedicated to keeping records relevant to a different geographical zone and a different temporal zone. Each subsystem in GALIS is structured as a TMO network for the sake of easy analysis and expansion. A prototype implementation of GALIS has been realized only partially, and its full implementation is under way. In this paper, major features of GALIS are presented together with discussions on trade-off considerations which led to the adoption of those features. Issues remaining for further research are also briefly discussed.
AbstractList Location-based service (LBS) systems have recently become a subject of active research and development. A key issue in such systems is efficient management of current and past location information of moving items. In the past two years, we have been establishing a new LBS system architecture, named the GALIS (Gracefully Aging Location Information System), which is based on the new approach of using a cluster of database server nodes and effecting efficient distributed and parallel computing in both real-time update of location records of moving items and processing of location-related queries. Each server node is dedicated to keeping records relevant to a different geographical zone and a different temporal zone. Each subsystem in GALIS is structured as a TMO network for the sake of easy analysis and expansion. A prototype implementation of GALIS has been realized only partially, and its full implementation is under way. In this paper, major features of GALIS are presented together with discussions on trade-off considerations which led to the adoption of those features. Issues remaining for further research are also briefly discussed.
Author Jonghoon Lee
Taehyung Wang
Young Kyu Yang
Yunmook Nah
Kim
Moon Hae Kim
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Snippet Location-based service (LBS) systems have recently become a subject of active research and development. A key issue in such systems is efficient management of...
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StartPage 225
SubjectTerms cluster
Computer architecture
distributed computing
Distributed databases
GALIS
History
Indexing
location-based service
moving item
Real time systems
scalability
Servers
TMO
update
Title A Cluster-Based TMO-Structured Scalable Approach for Location Information Systems
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