Abstract
While joint redundancy and maintenance strategies are used to maintain system reliability, optimization is often conducted to choose appropriate configuration parameters for each strategy. Existing research mainly deals with imperfect preventive maintenance strategy optimization and ignores the impact of inspection and detection interval before maintenance occurs. So, this paper aims at a joint redundancy and inspection-based maintenance strategy which is widely used in computing systems. Following the existing Markov-chain based evaluation method, an optimization model is built to choose appropriate redundancy for system structure and inspection interval for maintenance. This model is constructed to achieve best system performance under certain reliability constraint, whereas the reliability and performance models are built according to component redundancy and inspection interval. Since there is no closed-form formula of this optimization model, a greedy iterative search algorithm is used to get optimal solutions for inspection rate under each redundancy value. Empirical studies show the process of building the optimization model and calculating the optimal parameters from the model. The results indicate that this optimization method could find optimal redundancy as well as inspection rate.
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Acknowledgment
This work is supported by the National Natural Science Foundation of China (No. 61309005) and the Basic and Frontier Research Program of Chongqing (cstc2014jcyjA40015).
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He, P., Liu, G., Tan, C., Yuan, Y. (2016). Analysis and Optimization of a Joint Redundancy and Inspection-Based Maintenance Strategy. In: Zhang, L., Xu, C. (eds) Software Engineering and Methodology for Emerging Domains. NASAC 2016. Communications in Computer and Information Science, vol 675. Springer, Singapore. https://doi.org/10.1007/978-981-10-3482-4_7
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DOI: https://doi.org/10.1007/978-981-10-3482-4_7
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