Ensuring stable performance for systems that degrade

A new approach that is useful in identifying and eliminating performance degradation occurring in aging software is proposed. A customer-affecting metric is used to initiate the restoration of such a system to full capacity. A case study is described in which, by simulating an industrial software system, we are able to show that by monitoring a customer-affecting metric and frequently comparing its degradation to the performance objective, we can ensure system stability at a very low cost.

[1]  E. N. Elnozahy,et al.  Measuring Client-Perceived Response Time on the WWW , 2001, USITS.

[2]  Noah Treuhaft,et al.  Recovery Oriented Computing (ROC): Motivation, Definition, Techniques, and Case Studies , 2002 .

[3]  Elaine J. Weyuker,et al.  Reliability Testing of Rule-Based Systems , 1996, IEEE Softw..

[4]  Elaine J. Weyuker,et al.  Estimating the CPU utilization of a rule-based system , 2004, WOSP '04.

[5]  Yennun Huang,et al.  Software rejuvenation: analysis, module and applications , 1995, Twenty-Fifth International Symposium on Fault-Tolerant Computing. Digest of Papers.

[6]  A Avritzer,et al.  Quality of service enforcement for distributed objects , 1999, IEE Proc. Softw..

[7]  Kishor S. Trivedi,et al.  Analysis of software rejuvenation using Markov Regenerative Stochastic Petri Net , 1995, Proceedings of Sixth International Symposium on Software Reliability Engineering. ISSRE'95.

[8]  Katerina Goseva-Popstojanova,et al.  Modeling and analysis of software aging and rejuvenation , 2000, Proceedings 33rd Annual Simulation Symposium (SS 2000).

[9]  Elaine J. Weyuker,et al.  Monitoring Smoothly Degrading Systems for Increased Dependability , 2004, Empirical Software Engineering.

[10]  J WeyukerElaine,et al.  The Role of Modeling in the Performance Testing of E-Commerce Applications , 2004 .

[11]  Alberto Avritzer,et al.  Load testing software using deterministic state testing , 1993, ISSTA '93.

[12]  Elaine J. Weyuker,et al.  The Automatic Generation of Load Test Suites and the Assessment of the Resulting Software , 1995, IEEE Trans. Software Eng..

[13]  Tadashi Dohi,et al.  Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule , 2000, Proceedings. 2000 Pacific Rim International Symposium on Dependable Computing.

[14]  Elaine J. Weyuker,et al.  The role of modeling in the performance testing of e-commerce applications , 2004, IEEE Transactions on Software Engineering.

[15]  Matteo Sereno,et al.  Fine Grained Software Degradation Models for Optimal Rejuvenation Policies , 2001, Perform. Evaluation.

[16]  D. Berry,et al.  Statistics: Theory and Methods , 1990 .

[17]  Kishor S. Trivedi,et al.  Optimal Software Rejuvenation for Tolerating Soft Failures , 1996, Perform. Evaluation.

[18]  George Candea,et al.  Reducing recovery time in a small recursively restartable system , 2002, Proceedings International Conference on Dependable Systems and Networks.

[19]  Kishor S. Trivedi,et al.  Minimizing completion time of a program by checkpointing and rejuvenation , 1996, SIGMETRICS '96.

[20]  Kishor S. Trivedi,et al.  Proactive management of software aging , 2001, IBM J. Res. Dev..

[21]  Peter M. Broadwell.  Response Time as a Performability Metric for Online Services , 2004 .