Benchmarking preparation for and aggregate and sorting retrievals in the multi-backened database system
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Authors
Kelbe, Frank Edward
Majors, Dana Stephen
Subjects
Multi-backend database system
Database
Benchmark
Retrieval
Sorted retrieval
Aggregate retrieval
Benchmark preparation
MBDS
Performance
Database
Benchmark
Retrieval
Sorted retrieval
Aggregate retrieval
Benchmark preparation
MBDS
Performance
Advisors
Hsiao, David K.
Date of Issue
1987-06
Date
June 1987
Publisher
Language
en_US
Abstract
The scope of this thesis is twofold . The first is to provide a methodology for the performance evaluation of the Multi-Backend Database System, MBDS. The second is to describe the
implementation and integration for two new database operations, the aggregate retrieval and the sorted retrieval.
The thesis provides the essential tools for the successful evaluation of MBDS. The
performance evaluation of MBDS is necessary to validate the performance gains in terms of
response-time reduction, and capacity growth in terms of response-time invariance. The
implementation and integration of the aggregate retrieval and sorted retrieval provide two advanced data retrieval operations to MBDS. The aggregate retrieval operation allows the user to obtain extremely useful data not inherently available in the data itself. The sorted retrieval operation allows the user to retrieve data and have it presented in a more meaningful fashion.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
85 p.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.