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Query caching and optimization in distributed mediator systems

Authors:

Y. Papakonstantinou,

V. S. SubrahmanianAuthors Info & Claims

ACM SIGMOD Record, Volume 25, Issue 2

Pages 137 - 146

https://doi.org/10.1145/235968.233327

Published: 01 June 1996 Publication History

Abstract

Query processing and optimization in mediator systems that access distributed non-proprietary sources pose many novel problems. Cost-based query optimization is hard because the mediator does not have access to source statistics information and furthermore it may not be easy to model the source's performance. At the same time, querying remote sources may be very expensive because of high connection overhead, long computation time, financial charges, and temporary unavailability. We propose a cost-based optimization technique that caches statistics of actual calls to the sources and consequently estimates the cost of the possible execution plans based on the statistics cache. We investigate issues pertaining to the design of the statistics cache and experimentally analyze various tradeoffs. We also present a query result caching mechanism that allows us to effectively use results of prior queries when the source is not readily available. We employ the novel invariants mechanism, which shows how semantic information about data sources may be used to discover cached query results of interest.

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Query caching and optimization in distributed mediator systems

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Query caching and optimization in distributed mediator systems
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Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 25, Issue 2

June 1996

557 pages

ISSN:0163-5808

DOI:10.1145/235968

Chairman:
T. H. Merrett
McGill Univ.
,
Editors:
H. V. Jagadish,
Inderpal Singh Mumick

Issue’s Table of Contents

SIGMOD '96: Proceedings of the 1996 ACM SIGMOD international conference on Management of data
June 1996
560 pages
ISBN:0897917944
DOI:10.1145/233269
Editor:
Jennifer Widom
Stanford Univ., Stanford, CT

Copyright © 1996 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 June 1996

Published in SIGMOD Volume 25, Issue 2

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https://doi.org/10.29121/shodhkosh.v5.i5.2024.1611
Monir SZhao D(2024)Efficient Feature Extraction for Image Analysis through Adaptive Caching in Vector Databases2024 7th International Conference on Information and Computer Technologies (ICICT)10.1109/ICICT62343.2024.00036(193-198)Online publication date: 15-Mar-2024
https://doi.org/10.1109/ICICT62343.2024.00036
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