Lazy Updates for Distributed Search Structure.
Theodore Johnson, Padmashree Krishna:
Lazy Updates for Distributed Search Structure.
SIGMOD Conference 1993: 337-346@inproceedings{DBLP:conf/sigmod/JohnsonK93,
author = {Theodore Johnson and
Padmashree Krishna},
editor = {Peter Buneman and
Sushil Jajodia},
title = {Lazy Updates for Distributed Search Structure},
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 = {337-346},
ee = {http://doi.acm.org/10.1145/170035.170085},
crossref = {DBLP:conf/sigmod/93},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Very large database systems require distributed storage, which means that they need distributed search structures for
fast and eficient access to the data. In this paper, we present
an approach to maintaining distributed data structures that
uses lazy updates, which take advantage of the semantics of
the search structure operations to allow for scalable and low-overhead
replication. Lazy updates can be used to design
distributed search structures that support very high levels
of concurrency. The alternatives to lazy update algorithms
(eager updates) use synchronization to ensure consistency, while lazy update algorithms avoid blocking. Since lazy
updates avoid the use of synchronization, they are much
easier to implement than eager update algorithms. We
demonstmte the application of lazy updates to the dB-tree, which is a distributed B+ tree that replicates its interior
nodes for highly parallel access. We develop a correctness
theory for lazy updates so that our algorithms can be applied
to other distributed search structures.
Copyright © 1993 by the ACM,
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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]
[Full Text in PDF Format, 1086 KB]
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