Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-16T21:15:30.744Z Has data issue: false hasContentIssue false

Implications of a failure model for the use and maintenance of computers

Published online by Cambridge University Press:  14 July 2016

P. A. W. Lewis*
Affiliation:
Birkbeck College, London, and IBM Research Laboratories, San Jose, California

Abstract

In a previous paper a branching Poisson process model was derived to explain deviations from a Poisson process in computer failure patterns. Physically the deviations arise because an attempt to repair a computer is not always successful and the failure recurs a relatively short time later. In this paper we discuss the implications of this model for the use and maintenance of computers.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Lewis, P. A. W. A branching Poisson process model for analysis of computer failure patterns I. To appear in J. R. Statist. Soc. B 26.Google Scholar
[2] Cox, D. R. (1963) Renewal Theory. Methuen, London.Google Scholar
[3] Flehinger, B. J. and Lewis, P. A. W. (1959) Two-parameter lifetime distributions for reliability studies of renewal processes. IBM Journal of Research and Development 3, January, 5873.Google Scholar
[4] Watson, G. S. and Wells, W. T. (1961) On the possibility of improving the mean useful life of items by eliminating those with short lives. Technometrics 3, 281298.Google Scholar
[5] Gaver, D. P. (1962) A waiting line with interrupted service, including priorities. J. R. Statist. Soc. B 24, 7390.Google Scholar
[6] Kendall, M. G. (1963) Discussion of a paper by J. O. Irwin, “The place of mathematics in medical and biological statistics”. J. R. Statist. Soc. A 126, 145.Google Scholar
[7] Weiss, G. H. (1963) A survey of some mathematical models in the theory of reliability. Statistical Theory of Reliability. Ed. by Zelen, M., University of Wisconsin Press, Madison.Google Scholar
[8] Flehinger, B. J. (1962) A general model for the reliability analysis of systems under various preventive maintenance policies. Ann. Math. Statist. 33, 137156.Google Scholar
[9] Barlow, R. E. and Proschan, F. (1962) Planned replacement. Studies in Applied Probability and Management Science. Ed. by Arrow, K. J., Karlin, S. and Scarf, H., Stanford University Press, Stanford, California.Google Scholar
[10] Flehinger, B. J. (1960) System reliability as a function of system age; effects of intermittent component usage and periodic maintenance. Operat. Res. 8, 3044.Google Scholar
[11] Weiss, G. H. (1962) A problem in equipment maintenance. Management Science 8, 266277.Google Scholar
[12] Gaver, D. P. (1963) Random hazard in reliability problems. Technometrics 5, 211226.Google Scholar
[13] Barlow, R. E. and Proschan, F. (1963) Comparison of replacement policies, and renewal theory implications. Boeing Scientific Research Laboratories Mathematical Note, No. 290.Google Scholar
[14] Pyke, R. (1961) Markov renewal processes with finitely many states. Ann. Math. Statist. 32, 12431259.Google Scholar