Quorum Systems in Replicated Databases: Science or Fiction?
Avishai Wool:
Quorum Systems in Replicated Databases: Science or Fiction?
IEEE Data Eng. Bull. 21(4): 3-11(1998)@article{DBLP:journals/debu/Wool98,
author = {Avishai Wool},
title = {Quorum Systems in Replicated Databases: Science or Fiction?},
journal = {IEEE Data Eng. Bull.},
volume = {21},
number = {4},
year = {1998},
pages = {3-11},
ee = {db/journals/debu/Wool98.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
A quorum system is a collection of subsets of servers, every two of
which intersect. Quorum systems have been suggested as a tool for
concurrency control in replicated databases almost twenty years ago.
They promised to guarantee strict consistency and to provide high
availability and fault-tolerance in the face of server crashes and
network partitions. Despite these promises, current commercial
replicated databases typically do not use quorum systems. Instead they
use mechanisms which guarantee much weaker consistency, if any.
Moreover, the interest in quorum systems seems to be waning even in
the database research community.
This paper attempts to explain why quorum systems have not fulfilled
their old promises, and at the same time to argue why the current state
of affairs may change. As technological advances bring new capabilities,
and new applications bring new requirements, the time may have come to
review the validity of some long standing criticisms of quorum systems.
Another theme of this paper is to argue that if quorum systems are to
play a role in database research, it is not likely to be for their
claimed fault-tolerance capabilities. Rather, more attention should be
given to a somewhat overlooked feature of quorum systems: they allow
load balancing among servers while maintaining strict consistency.
Thus quorum systems may offer a way to scale up the throughput of
heavily loaded servers.
Copyright © 1998 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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BibTeX
Online Edition:
Data Engineering Bulletin December 1998:
Data Replication (Divyakant Agrawal and Amr El Abbadi, eds.)
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