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Performance Modeling Based on Real Data: A Case Study
April 1988 (vol. 37 no. 4)
pp. 478-484
A measurement-based performability model is described that is based on error and resource-usage data collected on a multiprocessor system. A method for identifying the model structure is introduced, and the resulting model is validated against real data. Model development from the collection of raw data to the estimation of the expected reward is described. Both normal behavior and error behavi

[1] J. F. Meyer, "Closed-form solutions of performability,"IEEE Trans. Comput., pp. 648-657, July 1982.
[2] R. Geist, M. Smotherman, K. S. Trivedi, and J. Bechta Dugan, "The reliability of life-critical computer systems,"Acta Informatica, vol. 23, pp. 621-642, 1986.
[3] A. Goyal, W. C. Carter, E. de Souza e Silva, S. S. Lavenberg, and K. S. Trivedi, "The system availability estimator," inProc. 16th Int. Symp. Fault-Tolerant Comput., Vienna, Austria, July 1986.
[4] O. Schoen, "On a class of integrated performance/reliability models based on queuing networks," inProc. 16th Int. Symp. Fault-Tolerant Comput., Vienna, Austria, July 1-4, 1986, pp. 90-95.
[5] R. Iyer, D. Rossetti, and M. Hsueh, "Measurement and modeling of computer reliability as affected by system activity,"ACM Trans. Comput. Syst., vol. 4, pp. 214-237, Aug. 1986.
[6] B. Littlewood, "Theories of software reliability: How good are they and how can they be improved?"IEEE Trans. Software Eng., vol. SE-6, pp. 489-500, Sept. 1980.
[7] M. C. Hsueh and R. K. Iyer, "A measurement-based model of software reliability in a production environment," inProc. 11th Annu. Int. Comput. Software Appl. Conf., Tokyo, Japan, Oct. 7-9, 1987, pp. 354-360.
[8] X. Castillo, "A compatible hardware/software reliability prediction model," Ph.D. dissertation, Carnegie-Mellon Univ., July 1981.
[9] D. Ferrari, G. Serazzi, and A. Zeigner,Measurement and Tuning of Computer Systems. Englewood Cliffs, NJ: Prenctice-Hall, 1981.
[10] H. Spath,Cluster Analysis Algorithms. West Sussex, England: Ellis Horwood, 1980.
[11] M. C. Hsueh, "Measurement-based reliability/performability models," Ph.D. dissertation, Dep. Comput. Sci., Univ. Illinois at Urbana-Champaign, Aug. 1987.
[12] IBM Corp.Environmental Record Editing&Printing Program, IBM Corp., 1984.
[13] R. K. Iyer, L. T. Young, and V. Sridhar, "Recognition of error symptoms in large systems," inProc. 1986 IEEE-ACM Fall Joint Comput. Conf., Dallas, TX, Nov. 2-6, 1986, pp. 797-806.
[14] R. A. Howard,Dynamic Probabilistic Systems. New York: Wiley, 1971.
[15] K. S. Trivedi,Probability and Statistics with Reliability, Queueing and Computer Science Applications. Englewood Cliffs, NJ: Prentice-Hall, 1982.
[16] R. M. Smith and K. S. Trivedi, "A performability analysis of two multiprocessor systems," inProc. 17th Int. Symp. Fault-Tolerant Comput., Pittsburgh, PA, July 6-8, 1987, pp. 224-229.
[17] R. A. Sahner and K. S. Trivedi, "Reliability modeling using SHARPE,"IEEE Trans. Reliability, pp. 186-193, June 1987.

Index Terms:
semiMarkov process; measurement-based performability model; multiprocessor system; reward function; service rate; error rate; multiprocessing systems; performance evaluation.
Citation:
M.C. Hseuh, R.K. Iyer, K.S. Trivedi, "Performance Modeling Based on Real Data: A Case Study," IEEE Transactions on Computers, vol. 37, no. 4, pp. 478-484, April 1988, doi:10.1109/12.2195
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