Paper Info
Title
A grid-based node split algorithm for managing current location data of moving objects
Abstract
There is rapidly increasing interest in Location Based Service (LBS) which utilizes location data of moving objects. To efficiently manage the huge amounts of location data in LBS, the GALIS (Gracefully Aging Location Information System) architecture, a cluster-based distributed computing architecture, is proposed. The GALIS using the non-uniform 2-level grid algorithm performs load balancing and indexing for nodes. However, the non-uniform 2-level grid algorithm has a problem creating unnecessary nodes when moving objects are crowded in a certain region. Therefore, a new node split algorithm, which is more efficient for various distribution of moving objects, is proposed in this paper. Because the algorithm proposed in this paper considers spatial distribution for the current location of moving objects, it can perform efficient load balancing without creating unnecessary nodes even when moving objects are congested in a certain region. Besides, the various data distribution configuration for moving objects has been experimented by implementing node split simulators and it's been verified that the proposed algorithm can split nodes more efficiently than the existing algorithm.
Year
DOI
Venue
2007
10.1007/s11227-007-0117-5
The Journal of Supercomputing
Keywords
Field
DocType
Node split algorithm,Current location data,GALIS,LBS,Load balancing,Moving objects,Cluster-based distributed computing architecture
Mobile computing,Object-oriented programming,Supercomputer,Load balancing (computing),Computer science,Search engine indexing,Algorithm,Location-based service,Real-time computing,Systems architecture,Grid,Distributed computing
Journal
Volume
Issue
ISSN
42
3
0920-8542
Citations 
PageRank 
References 
0
0.34
15
Authors
5
Name
Order
Citations
PageRank
Dong-Suk Hong1103.67
Hong-Koo Kang283.91
Dong-Oh Kim3156.72
Jae-Kwan Yun4164.32
Ki-Joon Han5266.76