In moving object databases, existing disk-based indexes are unable to keep up with the high update rate while providing speedy retrieval at the same time. However, efficient management of moving-object database can be achieved through aggressive use of main memory. In this paper, we propose an Integrated Memory Partitioning and Activity Conscious Twin-index (IMPACT) framework where the moving object database is indexed by a pair of indexes based on the properties of the objects' movement - a main-memory structure manages active objects while a disk-based index handles inactive objects. As objects become active (or inactive), they dynamically migrate from one structure to the other. Moreover, the main memory is also organized into two partitions - one for the main memory index, and the other as buffers for the frequently accessed nodes of the disk-based index. Our experimental study shows that the IMPACT framework provides superior performance. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Cui, B., Lin, D., & Tan, K. L. (2005). Towards optimal utilization of main memory for moving object indexing. In Lecture Notes in Computer Science (Vol. 3453, pp. 600–611). Springer Verlag. https://doi.org/10.1007/11408079_56
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