Performability

The analysis of a system from the pure performance viewpoint tends to be optimistic since it ignores the failure/repair behavior in the system. On the other hand, pure availability analysis tends to be too conservative since performance considerations are not taken into account. Also, in a well-designed system, the failure of a component node will cause partial outage of the system, specifically, the decrease of system capacity available to the users, which further affects the performance and quality of service (QoS) to the users. Therefore, in real systems, availability, and performance are important QoS indices which should be studied in a composite manner. The combined evaluation of the indices described above is useful when the system under study can operate in a gracefully degradable manner in the presence of component failures. SHARPE and SPNP software packages that we have developed allow such combined performance/availability analysis.



Publications on Performability:

Books on Performability

Performability Modeling Tools and Techniques, edited by B. Haverkort, R. Marie and G. Rubino, and K. S. Trivedi, John Wiley & Sons, Chichester, England, 2001.



If you are interested in purchasing this book, please go to any of the following sites:


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Title: Probability and Statistics with Reliability, Queuing, and Computer Science Applications (The Blue Book)
Author: Kishor S. Trivedi
2nd edition - John Wiley & Sons. ISBN number 0-471-33341-7


The following examples in the blue book are on performability:


If you are interested in purchasing this book, then please see any of the following vendors:
Articles Published in Journals

Performability Modeling Based on Real Data: a Case Study, with M. C. Hsueh and R. Iyer, IEEE Transactions on Computers, Vol. C-37, No. 4, pp. 478-484, Apr. 1988.

Performability Analysis: Measures, An Algorithm and a Case Study, R. M. Smith, K. S. Trivedi, and A. Ramesh, IEEE Transactions on Computers, Vol. C-37, No. 4, pp. 406-417, Apr. 1988. This paper is a standard reference for performability.

Performability Analysis Using Semi-Markov Reward Processes, G. Ciardo, R. Marie, B. Sericola, and K. S. Trivedi, IEEE Transactions on Computers, Vol. C-39, No. 10, pp. 1251-1264, Oct. 1990.

Multiprocessor Performability Analysis, with Noe Lopez-Benitez, IEEE Transactions on Reliability, Vol. 42, No. 4, Dec. 1993, pp. 579-587.

A Measurement-Based Performability Model for a Multiprocessor System, with M. C. Hsueh and R. Iyer, in: Proc. of the Second Int. Workshop on Applied Mathematics and PerformanceReliability Models of Computer/Communication Systems, Rome, Italy, May 1987 (invited).

Dependability and Performability Analysis K. S. Trivedi, G. Ciardo, M. Malhotra, and R.A. Sahner, in: Performance Evaluation of Computer and Communication Systems, Lecture Notes in Computer Science, L. Donatiella, R. Nelson (eds.), pp. 587-612, Springer-Verlag, 1993.

Markov Renewal Theory Applied to Performability Evaluation, R. Fricks, M. Telek and A. Puliafito, K. S. Trivedi, in State-of-the Art in Performance Modeling and Simulation. Modeling and Simulation of Advanced Computer Systems: Applications and Systems, K. Bagchi and G. Zobrist (eds.), pp. 193-236; Gordon and Breach Publishers, Newark, NJ, 1998.

Stochastic Modeling Formalisms for Dependability, Performance and Performability, K. Goseva - Popstojanova and K. S. Trivedi, in Performance Evaluation - Origins and Directions, Lecture Notes in Computer Science, G. Haring, C. Lindemann, M. Reiser (eds.), pp. 385-404, Springer Verlag, 2000.

Articles in Symposia Proceedings

Numerical Evaluation of Performability Measures and Job Completion Time in a Repairable Fault-Tolerant System, with V. Kulkarni, V. Nicola and R. Smith, Proc. Sixteenth International Symposium on Fault-Tolerant Computing, Vienna, Austria, July 1986.

An Analysis of Performability of Two Multiprocessor Systems, with Roger Smith, Proc. Seventeenth International Symposium on Fault-Tolerant Computing,Pittsburgh, PA, IEEE Press, pp. 224-229, 1987.

Sensitivity Analysis of Reliability and Performability for Multiprocessor Systems, J. Blake, A. Reibman, and K. S. Trivedi, Proc. 1988 ACM SIGMETRICS Conference,Santa Fe, New Mexico, pp. 177-186, May 1988.

Reliability and Performability Techniques and Tools: A Survey (invited paper), K. S. Trivedi and Manish Malhotra, Proc. 7th ITG/GI Conference on Measurement, Modelling and Evaluation of Computer and Communication Systems, Aachen University of Technology, pp. 27-48, Sept. 1993.

Markov reward approach to performability and reliability analysis, with M. Malhotra and R.M. Fricks, Proc. MASCOTS 1994, the Second International Workshop. pp. 7-11 1994

Stochastic Reward Nets for Reliability and Performability Prediction, invited talk presented to VII Simposio de Computadores Tolerantes a Falhas (VII SCTF), Campina Grande, Brazil, Jul. 1997.

Performability Analysis of Handoff Calls in Personal Communication Networks, C. W. Ro and K. S. Trivedi, Proc. Sixth International Conference on Computer Communications and Networks (IC3N'97), Las Vegas, Nevada, Sept. 1997.

Performability Analysis of Channel Allocation with Channel Recovery Strategy in Cellular Networks, Yue Ma, C. W. Ro, and K. S. Trivedi, Proc. of IEEE 1998 International Conference on Universal Personal Communications (ICUPC'98), Florence, Italy, pp. 71-75, Oct. 5-9, 1998.

Performability Analysis of Fault Tolerant RF Link Design in Wireless Communications Networks, invited paper, Yue Ma, James J. Han, and K. S. Trivedi, Proc. of 13th European Simulation Multiconference (ESM99), Warsaw, Poland, pp. 33-44, June 1-4, 1999.

Performability Analysis of TDMA Cellular Systems, Yonghuan Cao, Hairong Sun, and K. S. Trivedi, International Conference on the Performance and QoS of Next Generation Networking, P & QNet2000, Nagoya, Japan, Nov., 2000.


Last updated on 19 March 2002