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Availability and Dependability Analysis of Active-Passive Cluster Systems using Semi-Markov Model with Parametric Study

by Sandeep Dhungana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 104
Year of Publication: 2026
Authors: Sandeep Dhungana
10.5120/ijca00703fa2b4fb

Sandeep Dhungana . Availability and Dependability Analysis of Active-Passive Cluster Systems using Semi-Markov Model with Parametric Study. International Journal of Computer Applications. 187, 104 ( May 2026), 54-59. DOI=10.5120/ijca00703fa2b4fb

@article{ 10.5120/ijca00703fa2b4fb,
author = { Sandeep Dhungana },
title = { Availability and Dependability Analysis of Active-Passive Cluster Systems using Semi-Markov Model with Parametric Study },
journal = { International Journal of Computer Applications },
issue_date = { May 2026 },
volume = { 187 },
number = { 104 },
month = { May },
year = { 2026 },
issn = { 0975-8887 },
pages = { 54-59 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number104/availability-and-dependability-analysis-of-active-passive-cluster-systems-using-semi-markov-model-with-parametric-study/ },
doi = { 10.5120/ijca00703fa2b4fb },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-05-17T02:29:17.051212+05:30
%A Sandeep Dhungana
%T Availability and Dependability Analysis of Active-Passive Cluster Systems using Semi-Markov Model with Parametric Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 104
%P 54-59
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Active-passive cluster systems are commonly used in distributed computing to improve system availability and fault tolerance. In this work, Semi-Markov model is used to analyze the availability and dependability of the system. A state transition diagram is used to represent the state behavior which includes active unit failure, standby unit failure, coverage, and failure detection. System availability is evaluated by calculating the steady-state probabilities. The impact of the active unit failure rate on availability is analyzed using parametric evaluation and graphical results. The results show us that the availability decreases when the failure rate increases, which highlights the importance of component reliability. The model presented can help in the design and evaluation of highly available cluster system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cluster Systems Dependability Semi-Markov Model High Availability Systems Failure Rate

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