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Distributing a database for parallelism
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Source International Conference on Management of Data archive
Proceedings of the 1983 ACM SIGMOD international conference on Management of data table of contents
San Jose, California
SESSION: Distributed system I table of contents
Pages: 23 - 29  
Year of Publication: 1983
ISBN:0-89791-104-0
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Authors
E. Wong  University of California, Berkeley, California
R. H. Katz  University of California, Berkeley, California
Sponsors
: ACM SIGBDP
: IEEE TC on Design Automation
: IEEE TC on Database Engineering
: IEEE TC on VLSI
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 42,   Citation Count: 15
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ABSTRACT

In this paper we treat the problem of subdividing a database and allocating the fragments to the sites in a distributed database system in order to maximize non-duplicative parallelism. Our goal is to establish a conceptual framework for distributing data without being committed to specific cost models.We introduce the concept of "local sufficiency" as a measure of parallelism, and show how certain classes of queries lead naturally to irredundant partitions of a database that are locally sufficient. For classes of queries for which no irredundant distribution is locally sufficient, we offer ways to introduce redundancy in achieving local sufficiency


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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{APER80} Apers, P.M.G., "Redundant Allocation of Relations in a Communications Network," Proc. Fifth Berkeley Workshop on Distributed Data Management and Computer Networks (Feb. 1981).
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{CHU73} Chu, W.W., "Optimal Allocation of Files in Computer Networks," in Computer Communications Networks, Prentice-Hall, Englewood Cliffs, NJ, 1973.
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{WONG81} Wong, E., "Dynamic Re-Materialization: Processing Distributed Queries Using Redundant Data," Proc. Fifth Berkeley Workshop on Distributed Data Management and Computer Networks (Feb. 1981).

CITED BY  15