Optimal Rejuvenation Policies for Non-Markovian Availability Models with Aperiodic Checkpointing
Author:
Affiliation:
1. Department of Information Science and Engineering, Ritsumeikan University
2. Department of Information Engineering, Graduate School of Engineering, Hiroshima University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E103.D/10/E103.D_2019EDP7321/_pdf
Reference33 articles.
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2. [2] Y. Huang, C. Kintala, N. Kolettis, and N.D. Funton, “Software rejuvenation: analysis, module and applications,” Proc. 25th IEEE International Symposium on Fault Tolerant Computing (FTC'95), IEEE CPS, pp.381-390, 1995. DOI:10.1109/FTCS.1995.466961 10.1109/ftcs.1995.466961
3. [3] K.S. Trivedi and K. Vaidyanathan, “Software aging and rejuvenation,” Wiley Encyclopedia of Computer Science and Engineering, pp.1-8, John Wiley & Sons, 2007. DOI:10.1002/9780470050118. ecse394 10.1002/9780470050118.ecse394
4. [4] J. Alonso, R. Matias, E. Vicente, A. Maria, and K.S. Trivedi, “A comparative experimental study of software rejuvenation overhead,” Performance Evaluation, vol.70, no.3, pp.231-250, 2013. DOI:10.1016/j.peva.2012.09.002 10.1016/j.peva.2012.09.002
5. [5] J. Zheng, H. Okamura, L. Li, and T. Dohi, “A comprehensive evaluation of software rejuvenation policies for transaction systems with Markovian arrivals,” IEEE Trans. Rel., vol.66, no.4, pp.1157-1177, 2017. DOI:10.1109/TR.2017.2741526 10.1109/tr.2017.2741526
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