Performance analysis of a multiprogrammed computer system

Authors:
W. Chiu;D. Dumont;R. Wood
Affiliations:
IBM Thomas J. Watson Research Center, Yorktown Heights, NY;Department of Electrical Engineering and Computer Science, University of California, Santa Barbara, CA;Department of Electrical Engineering and Computer Science, University of California, Santa Barbara, CA
Venue:
IBM Journal of Research and Development
Year:
1975

Citing 5
Cited 0

Probability Models for Multiprogramming Computer Systems

Journal of the ACM (JACM)
Performance Evaluation and Monitoring

ACM Computing Surveys (CSUR)
Computational algorithms for closed queueing networks with exponential servers

Communications of the ACM
An analytic model of the HASP execution task monitor

SIGME '73 Proceedings of the 1973 ACM SIGME symposium
Analysis and applications of probabilistic models of multiprogrammed computer systems.

Analysis and applications of probabilistic models of multiprogrammed computer systems.

Quantified Score

Hi-index	0.01

Visualization

Abstract

A combination of analytical modeling and measurement is employed for the performance analysis of a multiprogrammed computer system. First, a cyclic queue model is developed for the system under study. Then, model validation is attempted in both controlled and normal environments. The success of the model is demonstrated by its prediction of performance improvements from system reconfigurations. Reasonable correlation between the measured performance and the model predictions under various degrees of multiprogramming is observed. Finally, possible system reconfigurations are explored with the insight gained from the performance analysis.