This paper presents a novel buffer management technique for spatial database management systems. Much research has been performed on various buffer management techniques in order to reduce disk I/O. However, many of the proposed techniques utilize the temporal locality of access patterns. In spatial database environments, there exists not only the temporal locality, where a recently access object will be accessed again in near future, but also spatial locality, where the objects in the recently accessed regions will be accessed again in the near future. Thus, in this paper, we present a buffer management technique, called BRUST, which utilizes both the temporal locality and spatial locality in spatial database environments. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Min, J. K. (2006). BRUST: An efficient buffer replacement for spatial databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3991 LNCS-I, pp. 364–371). Springer Verlag. https://doi.org/10.1007/11758501_51
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