Software faults software aging and software rejuvenation

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Student Scholarships and Awards. ComputingEdge Newsletter Subscription. Choose all that apply. In our simulations, we use the Nmax that maximizes the average resource performance. The simulation results also show that the extended resource model achieves Relationship between n and fL higher average resource performance than the P 2 -resource To evaluate the relationship between the number of warm model. With a given system longevity L, for B. The simulation parameters are warm rejuvenations for each system longevity.

Software aging. Schedulability analysis for real-time task set on resource with performance degradation 1 In general, the optimal number of warm rejuvenations and periodic rejuvenation.

Huang, C. Kintala, N. Kolettis, and N. In Fault-Tolerant Computing, 2 The maximal average resource performance fmax de- Digest of Papers. Hanmer and V. Rejuvenation with workload migra- increases. Koutras, A. Platis, and N. In Software Reliability Engineering Workshops, ISSRE increasing. Wksp Alonso, R. Matias, E. Vicente, A. Maria, and K. A compara- The observations are consistent with the intuition behind tive experimental study of software rejuvenation overhead.

Performance the proposed resource model. Special Issue on Software Aging and Rejuvenation. Trivedi, K. Vaidyanathan, and K. Modeling should perform more warm rejuvenations to take its low and analysis of software aging and rejuvenation. In Simulation Sympo- time cost advantage. As the resource is unavailable during sium, SS Proceedings. Tai, S. Chau, L. Alkalaj, and H. On-board preventive rejuvenations, the average resource performance decreases if maintenance: analysis of effectiveness and optimal duty period.

Maximize system reliability for long lasting and continuous in higher average resource performance fmax. Springer International Publishing, Okamura and T. Availability optimization in operational soft- 0. In 6 fmax Software Reliability Engineering Workshops, Nonparametric estimation of relia- 2 0. Closed loop de- sign for software rejuvenation.

Koutras and A. Experience report: Detecting poor-responsive UI in android applications. Kourai, K. A fast rejuvenation technique for server consolidation with virtual machines. Machida, F. Aging-related bugs in cloud computing software. In IEEE 23rd international symposium on software reliability engineering workshops pp. Lifetime extension of software execution subject to aging.

Prediction of performance anomalies in web-applications based-on software aging scenarios. In IEEE second international workshop on software aging and rejuvenation pp. Matias, R. Accelerated degradation tests applied to software aging experiments.

Meng, H. Modeling and optimizing periodically inspected software rejuvenation policy based on geometric sequences. No author. Global smartphone sales to end users from 1st quarter to 1st quarter , by operating system in million units [Online].

Last accessed at July 11, Parnas, D. Software aging. Qiao, Y. An empirical study of software aging manifestations in android. Trivedi, K. Modeling and analysis of software aging and rejuvenation. In Proceedings 33rd annual simulation symposium SS pp. Vicario, E. Using stochastic state classes in quanti- tative evaluation of dense-time reactive systems.

Weng, C. Analysis of software aging in android. A rejuvenation strategy in android. Xiang, J. A new software rejuvenation model for android.

Xie, W. Analysis of a two-level software rejuvenation policy. Download references. You can also search for this author in PubMed Google Scholar. Correspondence to Jing Tian. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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