On the Generation of Spatiotemporal Datasets
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
TMO-structured Cluster-based Real-time Management of Location Data on Massive Volume of Moving Items
WSTFES '03 Proceedings of the IEEE Workshop on Software Technologies for Future Embedded Systems
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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 area. 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 area. 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 splits nodes more efficiently than the existing algorithm.