The LRU-K Page Replacement Algorithm For Database Disk Buffering.
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard Weikum:
The LRU-K Page Replacement Algorithm For Database Disk Buffering.
SIGMOD Conference 1993: 297-306@inproceedings{DBLP:conf/sigmod/ONeilOW93,
author = {Elizabeth J. O'Neil and
Patrick E. O'Neil and
Gerhard Weikum},
editor = {Peter Buneman and
Sushil Jajodia},
title = {The LRU-K Page Replacement Algorithm For Database Disk Buffering},
booktitle = {Proceedings of the 1993 ACM SIGMOD International Conference on
Management of Data, Washington, D.C., May 26-28, 1993},
publisher = {ACM Press},
year = {1993},
pages = {297-306},
ee = {http://doi.acm.org/10.1145/170035.170081, db/conf/sigmod/ONeilOW93.html},
crossref = {DBLP:conf/sigmod/93},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
This paper introduces a new approach to database disk
buffering, called the LRU-K method. The basic idea of
LRU-K is to keep track of the times of the last K references
to popular database pages, using this information to statistcally
estimate the interarrival times of references on a page
by page basis. Although the LRU-K approach performs
optimal statistical inference under relatively standard assumptions,
it is faily simple and incurs little bookkeeping
overhead. As we demonstrate with simulation experiments,
the LRU-K algorithm surpasses conventional buffering algorithms
in discriminating between frequently and infrequently
referenced pages. In fact, LRU-K can approach the
behavior of buffering algorithms in which page sets with
known access frequencies are manually assigned to different
buffer pools of specifically tuned sizes. Unlike such customized
buffering algorithms however, the LRU-K method
is self-tuning, and does not rely on external hints about
workload characteristics. Furthermore, the LRU-K algorithm
adapts in real time to changing patterns of access.
Copyright © 1993 by the ACM,
Inc., used by permission. Permission to make
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Printed Edition
Peter Buneman, Sushil Jajodia (Eds.):
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C., May 26-28, 1993.
ACM Press 1993
,
SIGMOD Record 22(2),
June 1993
Contents
[Index Terms]
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Contents
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Copyright © Fri Mar 12 17:21:30 2010
by Michael Ley (ley@uni-trier.de)