NDLI: Parallel relational operations based on clustered surrogate files

Content Provider	IEEE Xplore Digital Library
Author	Chung, S.M.
Copyright Year	1990
Description	Author affiliation: Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA (Chung, S.M.)
Abstract	In the context of very large databases, the main problem is how to process relational operations in the minimum amount of time to satisfy user queries. To speed up the relational operations on very large databases, parallel processing is essential. A reasonable indexing scheme for parallel processing systems is the concatenated code word (CCW) surrogate file, which is small in size and requires simple maintenance. Since interrelated relational operations can be performed on the CCW surrogate files, considerable processing time can be saved by performing interrelated relational operations on CCW files before the large data files are accessed. CCW surrogate files can be satisfactorily mapped into parallel architectures because their structure is quite compact and regular. To speed up the relational operations based on CCW surrogate files. it is possible to cluster the CCW surrogate files. If a CCW surrogate file is clustered, only a subset of the surrogate file is searched for a relational operation. Clustered-CCW surrogate file and data file structures suitable for a parallel processing system are introduced. Parallel relational operation algorithms based on the clustered file structures are developed and evaluated.<>
Starting Page	225
Ending Page	234
File Size	977622
Page Count	10
File Format	PDF
ISBN	0818620536
DOI	10.1109/FMPC.1990.89463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-10-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexing Computer science Data engineering Relational databases Process design Joining processes Large Hadron Collider Indexes
Content Type	Text
Resource Type	Article

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