IEICE TRANSACTIONS on Communications
Rejuvenating Communication Network System under Burst Arrival Circumstances
Summary :
Long running software systems are known to experience an aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To counteract this phenomenon a proactive fault management approach, called software rejuvenation, is particularly useful. It essentially involves gracefully terminating an application or a system and restarting it in a clean internal state. In this paper, we evaluate dependability performance of a communication network system with the software rejuvenation under the assumption that the requests arrive according to a Markov modulated Poisson process (MMPP). Three dependability measures, steady-state availability, loss probability of requests and mean response time on tasks, are derived through the hidden Markovian analysis based on the time-based software rejuvenation scheme. In numerical examples, we investigate the sensitivity of some model parameters to the dependability measures.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.12 pp.4498-4506
- Publication Date
- 2005/12/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.12.4498
- Type of Manuscript
- Special Section PAPER (IEICE/IEEE Joint Special Section on Autonomous Decentralized Systems)
- Category
- Traffic Issues
Authors
Keyword
Latest Issue
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Hiroyuki OKAMURA, Satoshi MIYAHARA, Tadashi DOHI, "Rejuvenating Communication Network System under Burst Arrival Circumstances" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 12, pp. 4498-4506, December 2005, doi: 10.1093/ietcom/e88-b.12.4498.
Abstract: Long running software systems are known to experience an aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To counteract this phenomenon a proactive fault management approach, called software rejuvenation, is particularly useful. It essentially involves gracefully terminating an application or a system and restarting it in a clean internal state. In this paper, we evaluate dependability performance of a communication network system with the software rejuvenation under the assumption that the requests arrive according to a Markov modulated Poisson process (MMPP). Three dependability measures, steady-state availability, loss probability of requests and mean response time on tasks, are derived through the hidden Markovian analysis based on the time-based software rejuvenation scheme. In numerical examples, we investigate the sensitivity of some model parameters to the dependability measures.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.12.4498/_p
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@ARTICLE{e88-b_12_4498,
author={Hiroyuki OKAMURA, Satoshi MIYAHARA, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Rejuvenating Communication Network System under Burst Arrival Circumstances},
year={2005},
volume={E88-B},
number={12},
pages={4498-4506},
abstract={Long running software systems are known to experience an aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To counteract this phenomenon a proactive fault management approach, called software rejuvenation, is particularly useful. It essentially involves gracefully terminating an application or a system and restarting it in a clean internal state. In this paper, we evaluate dependability performance of a communication network system with the software rejuvenation under the assumption that the requests arrive according to a Markov modulated Poisson process (MMPP). Three dependability measures, steady-state availability, loss probability of requests and mean response time on tasks, are derived through the hidden Markovian analysis based on the time-based software rejuvenation scheme. In numerical examples, we investigate the sensitivity of some model parameters to the dependability measures.},
keywords={},
doi={10.1093/ietcom/e88-b.12.4498},
ISSN={},
month={December},}
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TY - JOUR
TI - Rejuvenating Communication Network System under Burst Arrival Circumstances
T2 - IEICE TRANSACTIONS on Communications
SP - 4498
EP - 4506
AU - Hiroyuki OKAMURA
AU - Satoshi MIYAHARA
AU - Tadashi DOHI
PY - 2005
DO - 10.1093/ietcom/e88-b.12.4498
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2005
AB - Long running software systems are known to experience an aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To counteract this phenomenon a proactive fault management approach, called software rejuvenation, is particularly useful. It essentially involves gracefully terminating an application or a system and restarting it in a clean internal state. In this paper, we evaluate dependability performance of a communication network system with the software rejuvenation under the assumption that the requests arrive according to a Markov modulated Poisson process (MMPP). Three dependability measures, steady-state availability, loss probability of requests and mean response time on tasks, are derived through the hidden Markovian analysis based on the time-based software rejuvenation scheme. In numerical examples, we investigate the sensitivity of some model parameters to the dependability measures.
ER -
English
