Reliability evaluation method for warm standby embryonic cellular array

In this paper, a reliability evaluation method for warm standby embryonic cellular array, based on k-out-of-n warm standby system reliability model and non-homogeneous continuous time Markov model, is proposed in order to evaluate the reliability more accurately. In reliability evaluation process, spare cells are in warm standby mode, and embryonic cell fault detection coverage and fault self-repairing success rate are considered. Experimental results show that the proposed reliability evaluation method can evaluate the reliability of embryonic cellular array effectively and improve its accuracy. Based on the proposed reliability evaluation method, the effects of parameters change on embryonic cellular array reliability are researched. By improving embryonic cell fault detection coverage and fault self-repairing success rate, and reducing embryonic cell failure rate, the reliability can be improved effectively. The higher the fault detection coverage and fault self-repairing success rate, the larger the growth rate of reliability. In addition, by increasing the scale of embryonic cellular array, the reliability increases to the maximum first, then it will decrease continuously. The reliability variation law can not only provide theoretical guidance for embryonic cellular array optimization design, but also point out the direction for further research.

Automated summary

A reliability evaluation method for warm standby embryonic cellular array is proposed based on k-out-of-n warm standby system reliability model and non-homogeneous continuous time Markov model. Experimental results show that this method can effectively evaluate reliability and improve accuracy. The effects of parameter changes on reliability are researched, and improving fault detection coverage and self-repair success rate can effectively enhance reliability.