Real-time Systems Performance in the Presence of Failures
Computer - Special issue on real-time systems
High-Availability Computer Systems
Computer
Interval availability analysis using operational periods
Performance Evaluation - Special issue on performability modelling of computer and communication systems
Optimal software rejuvenation for tolerating soft failures
Performance Evaluation
Analysis of Preventive Maintenance in Transactions Based Software Systems
IEEE Transactions on Computers
Software Reliability Engineered Testing
Software Reliability Engineered Testing
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Behavioral Analysis of a Fault-Tolerant Software System with Rejuvenation
IEICE - Transactions on Information and Systems
Introduction to Probability Models, Ninth Edition
Introduction to Probability Models, Ninth Edition
Performance-Related Reliability Measures for Computing Systems
IEEE Transactions on Computers
On Evaluating the Performability of Degradable Computing Systems
IEEE Transactions on Computers
The N-Version Approach to Fault-Tolerant Software
IEEE Transactions on Software Engineering
A generalized formulation for the performability indicator
Computers & Mathematics with Applications
Analysis of a service degradation model with preventive rejuvenation
ISAS'06 Proceedings of the Third international conference on Service Availability
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Most of conventional software availability models often assume only up and down state for the time-dependent behavior of a software-intensive system. In this paper, we develop a plausible software service availability model considering the degradation of system service performance and the software reliability growth process in operation. We assume that the software system has two operational states from the viewpoint of the end user: one is providing with service performance according to specification and the other is with degraded service performance. The time-dependent behavior of the system alternating between up and down state is described by a Markov process. This model can derive instantaneous software service availability defined as the expected value of possible service processing quantity per unit time at a specified time point. Finally, we show several numerical examples of the measures to analyze the relationship between the service availability evaluation and software reliability growth characteristic.