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A Statistical Failure/Load Relationship: Results of a Multicomputer Study
July 1982 (vol. 31 no. 7)
pp. 697-706
R.K. Iyer, Center for Reliable Computing, Computer Systems Laboratory, Departments of Electrical Engineering and Computer Science, Stanford University
In this correspondence we present a statistical model which relates mean computer failure rates to level of system activity. Our analysis reveals a strong statistical dependency of both hardware and software component failure rates on several common measures of utilization (specifically CPU utilization, I/O initiation, paging, and job-step initiation rates). We establish that this effect is not dominated by a specific component type, but exists across the board in the two systems studied. Our data covers three years of normal operation (including significant upgrades and reconfigurations) for two large Stanford University computer complexes. The complexes, which are composed of IBM mainframe equipment of differing models and vintage, run similar operating systems and provide the same interface and capability to their users. The empirical data comes from identically structured and maintained failure logs at the two sites along with IBM OS/VS2 operating system performance/load records.
Index Terms:
statistical failure models, Computer failure data, performance-reliability models
Citation:
R.K. Iyer, S.E. Butner, E.J. Mccluskey, "A Statistical Failure/Load Relationship: Results of a Multicomputer Study," IEEE Transactions on Computers, vol. 31, no. 7, pp. 697-706, July 1982, doi:10.1109/TC.1982.1676070
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