Software rejuvenation in the cloud
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Investigating dynamic reliability and availability through state-space models
Computers & Mathematics with Applications
Investigating mobile crowdsensing application performance
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
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The increasing demand of quality presses towards more specific requirements, tighter constraints, and higher standards. It is thus necessary to provide new paradigms, techniques, and tools to adequately model and evaluate complex systems. This paper mainly focuses on reliability aspects, also taking into account dynamic-dependent interactions among components. Starting from the conservation of reliability principle, we characterize the time to failure of the system components through continuous phase type distributions. The system reliability is thus modeled by an expanded Markov chain expressed in terms of Kronecker algebra in order to face the state space explosion and to represent the memory policies related to the aging process. A two-component system is taken as example to demonstrate the effectiveness of the technique and to validate it.