SEOF: An Adaptable Object Prefetch Policy for Object-Oriented Database Systems

Authors:
Jung-Ho Ahn;Hyoung-Joo Kim
Affiliations:
-;-
Venue:
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Year:
1997

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Abstract

The performance of object access can be drastically improved by efficient object prefetch. In this paper we present a new object prefetch policy, Selective Eager Object Fetch(SEOF) which prefetches objects only from selected candidate pages without using any high level object semantics. Our policy considers both the correlations and the frequencies of fetching objects. Unlike existing prefetch policies, this policy utilizes the memory and the swap space of clients efficiently without resource exhaustion. Furthermore, the proposed policy has good adaptability to both the effectiveness of clustering and database size. We show the performance of the proposed policy through experiments over various multi-client system configurations.