Quantifying Resiliency of Virtualized System with Software Rejuvenation

Hiroyuki OKAMURA; Jungang GUAN; Chao LUO; Tadashi DOHI

doi:10.1587/transfun.E98.A.2051

Quantifying Resiliency of Virtualized System with Software Rejuvenation

Hiroyuki OKAMURA, Jungang GUAN, Chao LUO, Tadashi DOHI

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This paper considers how to evaluate the resiliency for virtualized system with software rejuvenation. The software rejuvenation is a proactive technique to prevent the failure caused by aging phenomenon such as resource exhaustion. In particular, according to Gohsh et al. (2010), we compute a quantitative criterion to evaluate resiliency of system by using continuous-time Markov chains (CTMC). In addition, in order to convert general state-based models to CTMCs, we employ PH (phase-type) expansion technique. In numerical examples, we investigate the resiliency of virtualized system with software rejuvenation under two different rejuvenation policies.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.10 pp.2051-2059

Publication Date: 2015/10/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E98.A.2051

Type of Manuscript: Special Section PAPER (Special Section on Recent Developments on Reliability, Maintainability and Dependability)

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Authors

Hiroyuki OKAMURA
  Hiroshima University
Jungang GUAN
  Hiroshima University
Chao LUO
  Hiroshima University
Tadashi DOHI
  Hiroshima University

Keyword

virtualized system, software rejuvenation, system resiliency, continuous-time Markov chain, PH approximation

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Hiroyuki OKAMURA, Jungang GUAN, Chao LUO, Tadashi DOHI, "Quantifying Resiliency of Virtualized System with Software Rejuvenation" in IEICE TRANSACTIONS on Fundamentals, vol. E98-A, no. 10, pp. 2051-2059, October 2015, doi: 10.1587/transfun.E98.A.2051.
Abstract: This paper considers how to evaluate the resiliency for virtualized system with software rejuvenation. The software rejuvenation is a proactive technique to prevent the failure caused by aging phenomenon such as resource exhaustion. In particular, according to Gohsh et al. (2010), we compute a quantitative criterion to evaluate resiliency of system by using continuous-time Markov chains (CTMC). In addition, in order to convert general state-based models to CTMCs, we employ PH (phase-type) expansion technique. In numerical examples, we investigate the resiliency of virtualized system with software rejuvenation under two different rejuvenation policies.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.2051/_p

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@ARTICLE{e98-a_10_2051,
author={Hiroyuki OKAMURA, Jungang GUAN, Chao LUO, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Quantifying Resiliency of Virtualized System with Software Rejuvenation},
year={2015},
volume={E98-A},
number={10},
pages={2051-2059},
abstract={This paper considers how to evaluate the resiliency for virtualized system with software rejuvenation. The software rejuvenation is a proactive technique to prevent the failure caused by aging phenomenon such as resource exhaustion. In particular, according to Gohsh et al. (2010), we compute a quantitative criterion to evaluate resiliency of system by using continuous-time Markov chains (CTMC). In addition, in order to convert general state-based models to CTMCs, we employ PH (phase-type) expansion technique. In numerical examples, we investigate the resiliency of virtualized system with software rejuvenation under two different rejuvenation policies.},
keywords={},
doi={10.1587/transfun.E98.A.2051},
ISSN={1745-1337},
month={October},}

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TY - JOUR
TI - Quantifying Resiliency of Virtualized System with Software Rejuvenation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2051
EP - 2059
AU - Hiroyuki OKAMURA
AU - Jungang GUAN
AU - Chao LUO
AU - Tadashi DOHI
PY - 2015
DO - 10.1587/transfun.E98.A.2051
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2015
AB - This paper considers how to evaluate the resiliency for virtualized system with software rejuvenation. The software rejuvenation is a proactive technique to prevent the failure caused by aging phenomenon such as resource exhaustion. In particular, according to Gohsh et al. (2010), we compute a quantitative criterion to evaluate resiliency of system by using continuous-time Markov chains (CTMC). In addition, in order to convert general state-based models to CTMCs, we employ PH (phase-type) expansion technique. In numerical examples, we investigate the resiliency of virtualized system with software rejuvenation under two different rejuvenation policies.
ER -