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Hardware support for advanced data management systems


Neches, Philip M. (1983) Hardware support for advanced data management systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/BH0Y-Q162.


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:massively parallel processing, computer architecture, 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):
  • Thompson, Frederick B. (advisor)
  • Mead, Carver (advisor)
Thesis Committee:
  • Unknown, Unknown
Defense Date:4 May 1983
Record Number:CaltechETD:etd-08102006-083426
Persistent URL:
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:3087
Deposited By: Imported from ETD-db
Deposited On:23 Aug 2006
Last Modified:21 Dec 2019 02:09

Thesis Files

PDF (Neches_pm_1983.pdf) - Final Version
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