Availability analysis of software rejuvenation in active/standby cluster system

Madhu Jain and Preeti

International Journal of Industrial and Systems Engineering, 2015, vol. 19, issue 1, 75-93

Abstract: Due to continuous running of software applications for a long time, the computer system may be subjected to degradation or crash failure. This phenomenon is known as software ageing. Software rejuvenation is a proactive method to tackle and overcome from these types of problems. In this study, an active/standby cluster system in which personal computers are connected in loosely coupled fashion for providing an improved availability is studied. In cluster system configuration with active/standby components, there may be a primary server which can be treated as active server and other servers work as standby units of the cluster system. The concept of software rejuvenation has been incorporated to enhance and improve the performance of the embedded cluster system. A three level software rejuvenation policy is taken into consideration to develop a Markov model. The steady state probabilities of the model are obtained which are further used to obtain the availability and downtime cost of the active/standby cluster system. The results obtained are also compared by computing the same using adaptive neuro-fuzzy inference system (ANFIS) approach. A numerical illustration has been provided to validate the model.

Keywords: active/standby cluster systems; software ageing; software rejuvenation; rebooting; downtime costs; availability analysis; cluster configuration; Markov model; adaptive neuro-fuzzy inference system; ANFIS; modelling. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=65948 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:19:y:2015:i:1:p:75-93

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().