[KSCI] Korea Science Citation Index Service

Adaptive Partitioning for Efficient Query Support

Yun, Hong-Won (Department of Information Technology, Silla University)

Publication Information

Journal of information and communication convergence engineering / v.5, no.4, 2007 , pp. 369-373 More about this Journal

Abstract

RFID systems large volume of data, it can lead to slower queries. To achieve better query performance, we can partition into active and some nonactive data. In this paper, we propose two approaches of partitioning for efficient query support. The one is average period plus delta partition and the other is adaptive average period partition. We also present the system architecture to manage active data and non-active data and logical database schema. The data manager check the active partition and move all objects from the active store to an archive store associated with an average period plus data and an adaptive average period. Our experiments show the performance of our partitioning methods.

Keywords

Partitioning methods; Data archiving; RFID data management; Temporal data modeling;

Citations & Related Records

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