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Can I read Distributing a Database for Parallelism on EtoBox?
Distributing a Database for Parallelism by E. Wong; R. H. Katz is a Computer Science article available to read on EtoBox.
What is Distributing a Database for Parallelism about?
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
Who reads Distributing a Database for Parallelism?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- E. Wong; R. H. Katz
- Publisher
- ACM
- Published
- 1983
- Language
- EN
- Field
- Computer Science (Physical Sciences)