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Accession Number002091790
AuthorWong E.
InstitutionDept. of Electrical Engng. & Computer Sci., Univ. of California, Berkeley, CA, USA.
TitleDynamic rematerialization: processing distributed queries using redundant data.
SourceIEEE Transactions on Software Engineering, vol.SE-9, no.3, May 1983, pp.228-32. USA.
Date of PublicationMay 1983
Country of PublicationUSA.
Conference InformationFifth Berkeley Workshop on Distributed Data Management and Computer Networks. Berkeley, CA, USA. 3-5 Feb. 1981.
AbstractIn this paper an approach to processing distributed queries that makes explicit use of redundant data is proposed. The basic idea is to focus on the dynamics of materialization, defined as the collection of data and partial results available for processing at any given time, as query processing proceeds. In this framework the role of data redundancy in maximizing parallelism and minimizing data movement is clarified. What results is not only the discovery of new algorithms but an improved framework for their evaluation. (8 References).
Abstract NumberC83031331
Subject HeadingsDatabase management systems. Distributed processing.
Key Phrase IdentifiersSDD1; DBMS; distributed processing; distributed queries; redundant data; materialization; parallelism.
Classification CodesDistributed databases [C6160B].
TreatmentPractical.
CODENIESEDJ
LanguageEnglish.
ISSN0098-5589.
U.S. Copyright Clearance Center Code0098-5589/83/0500-0228$01.00.
Publication TypeConference Paper.
Update Code198300.

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