Abstract
This paper put forward and analyzed the concept “virtual procedure database” (VPDs)operating system learning rate by using generalized stochastic Petri net, to analysis the performance of VPDs operating system. With the isomorphism relation between generalized stochastic Petri net and Markov chain, will meet the learning rate of the VPDs operating system of GSPN is transformed to the equivalent Markov chain model through using GSPN and Markov chain methods, to assess the performance of VPDs operating system, and verified by an example, provided the basis and reference for optimized VPDs operating system.
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Cheng, S., Zhang, Bx., Zhou, Gh., Hu, Sq. (2015). VPDs Operating System Modelling and Performance Analysis Based on Generalized Stochastic Petri Nets. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management 2014. Proceedings of the International Conference on Industrial Engineering and Engineering Management. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-102-4_4
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DOI: https://doi.org/10.2991/978-94-6239-102-4_4
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