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Hardware Support for Advanced Data Management Systems

Citation

Neches, Philip Malcolm (1983) Hardware Support for Advanced Data Management Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/BH0Y-Q162. https://resolver.caltech.edu/CaltechETD:etd-08102006-083426

Abstract

This thesis considers the problem of the optimal hardware architecture for advanced data management systems, of which the REL system can be considered a prototype. Exploration of the space of architectures requires a new technique which applies widely varying work loads, performance constraints, and heuristic configuration rules with an analytic queueing network model to develop cost functions which cover a representative range of organizational requirements. The model computes cost functions, which are the ultimate basis for comparison of architectures, from a technology forecast. The discussion shows the application of the modeling technique to thirty trial architectures which reflect the major classifications of data base machine architectures and memory technologies. The results suggest practical design considerations for advanced data management systems.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:(Computer Science) ; relational database, big data, technology forecasting, analytic queuing network models, performance models, cost models
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Computer Science
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Mead, Carver (advisor)
  • Thompson, Frederick B. (advisor)
Thesis Committee:
  • Unknown, Unknown
Defense Date:4 May 1983
Record Number:CaltechETD:etd-08102006-083426
Persistent URL:https://resolver.caltech.edu/CaltechETD:etd-08102006-083426
DOI:10.7907/BH0Y-Q162
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:3087
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:23 Aug 2006
Last Modified:09 Oct 2024 18:51

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