Abstract
While researchers have concentrated on the optimization of joint redundancy and maintenance mechanism, maintenance in computing systems is quite different from that in traditional systems. Considering a routine monitoring and inspection mechanisms is conducted to detect component status and trigger repair process, this paper pays attention to the optimization problem of joint redundancy and inspection-based maintenance mechanism. After conducting steady state analysis on subsystems using inspection-based maintenance, shared repair facility and component redundancy, optimization model is built to search appropriate system structure and maintenance policy which maximizes system performance while meeting availability and cost constraints. Due to the complexity of uncertain optimization model, genetic algorithm is used to search optimal solution, using triple-element encoding mechanism and specifically designed operators. Illustrative examples are conducted to show that the optimization model and corresponding solution technique could be used to search optimal system configuration under given constraints and different cost constraints would lead to different optimization result while meeting availability constraints.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kuo, W., Wan, R.: Recent advances in optimal reliability allocation. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 37, 143–156 (2007)
Soro, I.W., Nourelfath, M., Ait-Kadi, D.: Performance evaluation of multi-state degraded systems with minimal repairs and imperfect preventive maintenance. Reliab. Eng. Syst. Saf. 95, 65–69 (2010)
Nourelfath, M., Chatelet, E., Nahas, N.: Joint redundancy and imperfect preventive maintenance optimization for series-parallel multi-state degraded systems. Reliab. Eng. Syst. Saf. 103, 51–60 (2012)
Liu, Y., Huang, H.-Z., Wang, Z., Li, Y., Yang, Y.: A joint redundancy and imperfect maintenance strategy optimization for multi-state systems. IEEE Trans. Reliab. 62, 368–378 (2013)
Yang, C.T., Liu, J.C., Hsu, C.H., Chou, W.L.: On improvement of cloud virtual machine availability with virtualization fault tolerance mechanism. J. Supercomputing 69, 1103–1122 (2014)
Coit, D.W.: Maximization of system reliability with a choice of redundancy strategies. IIE Trans. (Inst. Ind. Eng.) 35, 535–543 (2003)
Tavakkoi-Moghaddam, R., Safari, J., Sassani, F.: Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm. Reliab. Eng. Syst. Saf. 93, 550–556 (2008)
Chambari, A., Rahmati, S.H.A., Najafi, A.A., Karimi, A.: A bi-objective model to optimize reliability and cost of system with a choice of redundancy strategies. Comput. Ind. Eng. 63, 109–119 (2012)
Chambari, A., Najafi, A.A., Rahmati, S.H.A., Karimi, A.: An efficient simulated annealing algorithm for the redundancy allocation problem with a choice of redundancy strategies. Reliab. Eng. Syst. Saf. 119, 158–164 (2013)
Safari, J.: Multi-objective reliability optimization of series-parallel systems with a choice of redundancy strategies. Reliab. Eng. Syst. Saf. 108, 10–20 (2012)
Levitin, G.: Optimal structure of fault-tolerant software systems. Reliab. Eng. Syst. Saf. 89, 286–295 (2005)
Ahmadizar, F., Soltanpanah, H.: Reliability optimization of a series system with multiple-choice and budget constraints using an efficient ant colony approach. Expert Syst. Appl. 38, 3640–3646 (2011)
He, P., Wen, J., Wu, K., Li, P., Ren, H.: Multi-objective service monitoring rate optimization using memetic algorithm. J. Softw. 7, 990–997 (2012)
Chern, M.: On the computational complexity of reliability redundancy allocation in a series system. Oper. Res. Lett. 11, 309–315 (1992)
Trivedi, K.S.: Probability and Statistics with Reliability, Queuing, and Computer Science Applications. Wiley, New York (2001)
Srinivas, M., Patnaik, L.M.: Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans. Syst. Man Cybern. 24, 656–667 (1994)
Levitin, G., Lisnianski, A., Ben-Haim, H., Elmakis, D.: Redundancy optimization for series-parallel multi-state systems. IEEE Trans. Reliab. 47, 165–172 (1998)
Tian, Z., Levitin, G., Zuo, M.J.: A joint reliability–redundancy optimization approach for multi-state series–parallel systems. Reliab. Eng. Syst. Saf. 94, 1568–1576 (2009)
Tavakkoli-Moghaddam, R., Safari, J., Sassani, F.: Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm. Reliab. Eng. Syst. Saf. 93, 550–556 (2008)
Ardakan, M.A., Hamadani, A.Z.: Reliability optimization of series-parallel systems with mixed redundancy strategy in subsystems. Reliab. Eng. Syst. Saf. 130, 132–139 (2014)
Martorell, S.A., Serradell, V.G., Samanta, P.K.: Improving allowed outage time and surveillance test interval requirements: a study of their interactions using probabilistic methods. Reliab. Eng. Syst. Saf. 47, 119–129 (1995)
Vaurio, J.K.: The theory and quantification of common cause shock events for redundant standby systems. Reliab. Eng. Syst. Saf. 45, 315 (1994)
Vaurio, J.K.: Optimization of test and maintenance intervals based on risk and cost. Reliab. Eng. Syst. Saf. 49, 23–36 (1995)
Cepin, M., Mavko, B.: Probabilistic safety assessment improves surveillance requirements in technical specifications. Reliab. Eng. Syst. Saf. 56, 69–77 (1997)
Cepin, M.: Optimization of safety equipment outages improves safety. Reliab. Eng. Syst. Saf. 77, 71–80 (2002)
Torres-Echeverria, A.C., Martorell, S., Thompson, H.A.: Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm. Reliab. Eng. Syst. Saf. 106, 45–60 (2012)
Yuwen, C., Linhong, X., Jin, Z., Leifeng, L.: Research about mobile AR system based on cloud computing. In: Wireless and Optical Communication Conference (WOCC), 2013 22nd, pp. 355–359 (2013)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (Grant No. 61309005) and the Frontier and Application Basic Research Program of Chongqing (Grant No. cstc2014jcyjA40015).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Yao, Y., He, P., Zheng, Z., Tan, C., Yuan, Y. (2015). Joint Redundancy and Inspection-Based Maintenance Optimization for Series-Parallel System. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9530. Springer, Cham. https://doi.org/10.1007/978-3-319-27137-8_54
Download citation
DOI: https://doi.org/10.1007/978-3-319-27137-8_54
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27136-1
Online ISBN: 978-3-319-27137-8
eBook Packages: Computer ScienceComputer Science (R0)