Data Storage Decisions for Large Data Bases.
WHARTON SCHOOL OF FINANCE AND COMMERCE PHILADELPHIA PA DEPT OF DECISION SCIENCES (MANAGEMENT)
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This dissertation presents a systematic methodology for making configuration decisions for large data bases. For each phase of the methodology, informal and operational decision aids are provided. The primary design tool described is an interactive Data Base Configuration Model DBCM. This model was developed to aid the data base designer in evaluating and comparing the cost and performance of alternative configurations. The methodology is illustrated by its applications to the configuration of a large data base the 1970 Census of Population and Housing.
- Administration and Management
- Economics and Cost Analysis
- Computer Hardware