A Markovian Software Availability Measurement with a Geometrically Decreasing Failure-Occurrence Rate
Summary :
We develop a software availability model incorporating software failure-occurrence and fault-correction times, under the assumption that the hazard rate for software failure-occurrence decreases geometrically with the progress in fault-removal process. Considering that the software system alternates two states, i.e. the operational state that a system is operating and the maintenance state that a system is inoperable due to the fault-correction activity, we model the time-dependent behavior of the system with a Markov process. Expressions for several quantities of software system perfomance are derived from this model. Finally, numerical examples are presented for illustration of software availability measurement.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.6 pp.737-741
- Publication Date
- 1995/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Reliability and Fault Analysis
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Koichi TOKUNO, Shigeru YAMADA, "A Markovian Software Availability Measurement with a Geometrically Decreasing Failure-Occurrence Rate" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 6, pp. 737-741, June 1995, doi: .
Abstract: We develop a software availability model incorporating software failure-occurrence and fault-correction times, under the assumption that the hazard rate for software failure-occurrence decreases geometrically with the progress in fault-removal process. Considering that the software system alternates two states, i.e. the operational state that a system is operating and the maintenance state that a system is inoperable due to the fault-correction activity, we model the time-dependent behavior of the system with a Markov process. Expressions for several quantities of software system perfomance are derived from this model. Finally, numerical examples are presented for illustration of software availability measurement.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_6_737/_p
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@ARTICLE{e78-a_6_737,
author={Koichi TOKUNO, Shigeru YAMADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Markovian Software Availability Measurement with a Geometrically Decreasing Failure-Occurrence Rate},
year={1995},
volume={E78-A},
number={6},
pages={737-741},
abstract={We develop a software availability model incorporating software failure-occurrence and fault-correction times, under the assumption that the hazard rate for software failure-occurrence decreases geometrically with the progress in fault-removal process. Considering that the software system alternates two states, i.e. the operational state that a system is operating and the maintenance state that a system is inoperable due to the fault-correction activity, we model the time-dependent behavior of the system with a Markov process. Expressions for several quantities of software system perfomance are derived from this model. Finally, numerical examples are presented for illustration of software availability measurement.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - A Markovian Software Availability Measurement with a Geometrically Decreasing Failure-Occurrence Rate
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 737
EP - 741
AU - Koichi TOKUNO
AU - Shigeru YAMADA
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1995
AB - We develop a software availability model incorporating software failure-occurrence and fault-correction times, under the assumption that the hazard rate for software failure-occurrence decreases geometrically with the progress in fault-removal process. Considering that the software system alternates two states, i.e. the operational state that a system is operating and the maintenance state that a system is inoperable due to the fault-correction activity, we model the time-dependent behavior of the system with a Markov process. Expressions for several quantities of software system perfomance are derived from this model. Finally, numerical examples are presented for illustration of software availability measurement.
ER -
English
