<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This investigation deals with modeling and availability analysis of cluster-based system inflicted with software aging. Software aging is a phenomenon in which a software system shows performance degradation with time and finally results in software failures. To cope up with this phenomenon, rejuvenation is an innovative concept to recover from software failures. As failures occur, server has the option either to take essential rejuvenation with probability <bold>p</bold> or may opt for optional rejuvenation with complementary probability <bold>q</bold>. To achieve high availability of the system, the concept of clustering is also taken into consideration. In this study, restart, reboot and standby concept is used for reducing the downtime cost. The sensitivity analysis of different parameters on system availability has been examined numerically. By integrating clustering, software aging and rejuvenation, the researchers intended to increase the availability and decrease the down time.</p></abstract>

This investigation deals with modeling and availability analysis of cluster-based system inflicted with software aging. Software aging is a phenomenon in which a software system shows performance degradation with time and finally results in software failures. To cope up with this phenomenon, rejuvenation is an innovative concept to recover from software failures. As failures occur, server has the option either to take essential rejuvenation with probability p or may opt for optional rejuvenation with complementary probability q. To achieve high availability of the system, the concept of clustering is also taken into consideration. In this study, restart, reboot and standby concept is used for reducing the downtime cost. The sensitivity analysis of different parameters on system availability has been examined numerically. By integrating clustering, software aging and rejuvenation, the researchers intended to increase the availability and decrease the down time.

Availability Modelling of Cluster-Based System with Software Aging and Optional Rejuvenation Policy

Department of Computer Science and Engineering

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This investigation deals with modeling and availability analysis of cluster-based system inflicted with software aging. Software aging is a phenomenon in which...

Availability Modelling of Cluster-Based System with Software Aging and Optional Rejuvenation Policy

Online veröffentlicht: 11. Dez. 2019

Seitenbereich: 90 - 100

Eingereicht: 26. Juli 2019

Akzeptiert: 19. Okt. 2019

DOI: https://doi.org/10.2478/cait-2019-0038

Schlüsselwörter
Software aging, Cluster, Standby, Reboot, Optional rejuvenation, Availability, Downtime cost

© 2018 Richa Sharma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Availability Modelling of Cluster-Based System with Software Aging and Optional Rejuvenation Policy

Online veröffentlicht: 11. Dez. 2019

Seitenbereich: 90 - 100

Eingereicht: 26. Juli 2019

Akzeptiert: 19. Okt. 2019

DOI: https://doi.org/10.2478/cait-2019-0038

SchlüsselwörterSoftware aging, Cluster, Standby, Reboot, Optional rejuvenation, Availability, Downtime cost

© 2018 Richa Sharma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Software aging, Cluster, Standby, Reboot, Optional rejuvenation, Availability, Downtime cost