Reliability prediction for fault-tolerant software architectures

2011 ◽  
Author(s):  
Franz Brosch ◽  
Barbora Buhnova ◽  
Heiko Koziolek ◽  
Ralf Reussner
Keyword(s):  
Fault Tolerant ◽  
Reliability Prediction ◽  
Software Architectures

Reliability Prediction of Fault Tolerant Automotive Systems

2000 ◽  
Author(s):  
Irina Theis ◽  
Jürgen Guldner ◽  
Ralf Orend
Keyword(s):  
Fault Tolerant ◽  
Reliability Prediction ◽  
Automotive Systems

Reliability Prediction of Computing Network with Software and Hardware Failures

2019 ◽  
Vol 27 (02) ◽  
pp. 2040006
Author(s):  
Chandra Shekhar ◽  
Neeraj Kumar ◽  
Madhu Jain ◽  
Amit Gupta
Keyword(s):  
Fault Tolerant ◽  
Transient State ◽  
Reliability Prediction ◽  
Time To Failure ◽  
Failure Times ◽  
Machine Interference ◽  
Random Failure ◽  
Software And Hardware ◽  
Hardware Failures ◽  
Mean Time

In this paper, we investigate the reliability and queueing performance indices for the fault-tolerant computing network having a finite number of unreliable operating components with the provision of warm standby components. Operating and standby components are governed by dedicated software which is also prone to random failure. On failure of operating components, available standby component(s) may switch from the standby state to operating state with negligible switchover time. The switchover process may also fail due to some automation hindrance. The computing network is also subjected to common cause failure in lieu of external cause. The studied redundant fault-tolerant computing network is framed as a Markovian machine interference model with exponentially distributed inter-failure times and service times. For the reliability prediction of the computing network, various performance measures, namely, mean-time-to-failure (MTTF), reliability/availability, failure frequency, etc., have been formulated in terms of transient-state probabilities which we have obtained using the spectral method. To show the practicability of the developed model, numerical simulation has been done. Sensitivity analysis of reliability and other indices of the computing network with respect to different network parameters has been presented, and results are summarized in the tables and graphs. Finally, future scope and concluding remarks have been included.

Reliability prediction of fault tolerant machining system with reboot and recovery delay

2017 ◽  
Vol 9 (2) ◽  
pp. 377-400 ◽  
Author(s):  
Chandra Shekhar ◽  
Madhu Jain ◽  
Ather Aziz Raina ◽  
Javid Iqbal
Keyword(s):  
Fault Tolerant ◽  
Reliability Prediction ◽  
Machining System

Reliability prediction for component-based software architectures

2003 ◽  
Vol 66 (3) ◽  
pp. 241-252 ◽  
Author(s):  
Ralf H. Reussner ◽  
Heinz W. Schmidt ◽  
Iman H. Poernomo
Keyword(s):  
Reliability Prediction ◽  
Software Architectures
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