NDLI: Parallel algorithms for executing join on cube-connected multicomputers

Content Provider	IEEE Xplore Digital Library
Author	Penaloza, M.A. Ozkarahan, E.A.
Copyright Year	1992
Description	Author affiliation: South Dakota Sch. of Mines & Technol., Rapid City, SD, USA (Penaloza, M.A.)
Abstract	The authors present parallel processing of database joins in a hypercube system based on a dynamic and order-preserving data partitioning storage organization referred to as DYOP. A DYOP file system corresponds to a grid-based file organization. A grid-based file is any file organization where the n-field (attribute) records of a file are represented as points in an n-dimensional space. Such a hyperspace is divided into a set of hyperrectangles, each of which corresponds to a disk block. In DYOP, values along each attribute are stored in an order-preserving fashion. As the file grows, its partitions are split along a dimension (attribute) by preserving the order of values. As the file growth continues, further splits are performed in such a way that each split occurs along a different attribute in a cyclic fashion. There have been two previous studies in implementing a database join operation on hypercubes. A performance comparison of these studies is presented.<>
Starting Page	20
Ending Page	27
File Size	642128
Page Count	8
File Format	PDF
ISBN	0818625457
DOI	10.1109/ICDE.1992.213211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-02-02
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parallel algorithms Hypercubes Partitioning algorithms Topology Databases Broadcasting Cities and towns Concurrent computing Costs Reflective binary codes
Content Type	Text
Resource Type	Article

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