Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions.
Achim Kraiss, Gerhard Weikum:
Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions.
VLDB 1997: 246-255@inproceedings{DBLP:conf/vldb/KraissW97,
author = {Achim Kraiss and
Gerhard Weikum},
editor = {Matthias Jarke and
Michael J. Carey and
Klaus R. Dittrich and
Frederick H. Lochovsky and
Pericles Loucopoulos and
Manfred A. Jeusfeld},
title = {Vertical Data Migration in Large Near-Line Document Archives
Based on Markov-Chain Predictions},
booktitle = {VLDB'97, Proceedings of 23rd International Conference on Very
Large Data Bases, August 25-29, 1997, Athens, Greece},
publisher = {Morgan Kaufmann},
year = {1997},
isbn = {1-55860-470-7},
pages = {246-255},
ee = {db/conf/vldb/KraissW97.html},
crossref = {DBLP:conf/vldb/97},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Large multimedia document archives hold most of their data in near-line
tertiary storage libraries for cost reasons. This paper develops an integrated
approach to the vertical data migration between the tertiary and secondary
storage in that it reconciles speculative preloading, to mask the high
latency of the tertiary storage, with the replacement policy of the secondary
storage. In addition, it considers the interaction of these policies with
the tertiary storage scheduling and controls preloading aggressiveness
by taking contention for tertiary storage drives into account. The integrated
migration policy is based on a continuous-time Markov-chain (CTMC) model
for predicting the expected number of accesses to a document within a specified
time horizon. The parameters of the CTMC model, the probabilities of co-accessing
certain documents and the interaction times between successive accesses,
are dynamically estimated and adjusted to evolving workload patterns by
keeping online statistics. The integrated policy for vertical data migration
has been implemented in a prototype system. Detailed simulation studies
with Web-server-like synthetic workloads indicate significant gains in
terms of client response time. The studies also show that the overhead
of the statistical bookkeeping and the computations for the access predictions
is affordable.
Copyright © 1997 by the VLDB Endowment.
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is by the permission of the Very Large Data Base
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a fee and/or special permission from the Endowment.
Online Paper
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BibTeX
Printed Edition
Matthias Jarke, Michael J. Carey, Klaus R. Dittrich, Frederick H. Lochovsky, Pericles Loucopoulos, Manfred A. Jeusfeld (Eds.):
VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece.
Morgan Kaufmann 1997, ISBN 1-55860-470-7
Contents BibTeX
Electronic Edition
From CS Dept.,
University Trier (Germany)
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Referenced by
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Towards Self-Tuning Memory Management for Data Servers.
IEEE Data Eng. Bull. 22(2): 3-11(1999)
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Integrated Document Caching and Prefetching in Storage Hierarchies Based on Markov-Chain Predictions.
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Performance Measurements of Tertiary Storage Devices.
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BibTeX
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