Using semantic knowledge of partitioning and allocation of data in distributed databases

Uday Kulkarni, H. K. Jain

Research output: Contribution to journalConference article

Abstract

Designing distributed databases involves determining how data sets are to be partitioned and spread over multiple sites in a network in order to achieve good performance. This paper presents a methodology for partitioning and allocating data while designing distributed databases. In a relational database environment, the knowledge available in the database schema such as identifier domains (primary keys, foreign keys) defines semantic relationships within and between the relations in the schema. This semantic knowledge is used along with use knowledge such as user views to form the design alternatives. These can subsequently be evaluated using performance measures like response time or total processing cost.

Original languageEnglish (US)
Article number183974
Pages (from-to)146-154
Number of pages9
JournalProceedings of the Annual Hawaii International Conference on System Sciences
Volume2
DOIs
StatePublished - Jan 1 1991
Externally publishedYes
Event24th Annual Hawaii International Conference on System Sciences, HICSS 1991 - Kauai, United States
Duration: Jan 8 1991Jan 11 1991

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Semantics
Processing
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Using semantic knowledge of partitioning and allocation of data in distributed databases. / Kulkarni, Uday; Jain, H. K.

In: Proceedings of the Annual Hawaii International Conference on System Sciences, Vol. 2, 183974, 01.01.1991, p. 146-154.

Research output: Contribution to journalConference article

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