Comparing the reliability in systems with triple and five modular redundancy

Abstract

The reliability of conditional probability systems refers to the fact that a system operates properly in timeframe [0, t1] provided that it was healthy at the beginning of the timeframe. Enhancing the reliability of the operations of computer systems is possible by implementing fault tolerability. Fault tolerability in a digital system can be obtained through redundancy in hardware, software, information, calculations and time. Some complex systems cannot simply be modelled with the help of combined methods. To model such cases, methods should be employed that consider the system state as well. Markov Model is based on the conceptions of system states and the probability of transition between the system states. In the present study, the reliability of systems was first calculated using hardware triple and five modular redundancy and its value was extracted for constant failure rate. Afterwards, the equations related to triple and five modular redundancy were simulated, and finally the results were compared.