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An Overview for Markov Decision Processes in Queues and Networks

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Stochastic Models in Reliability, Network Security and System Safety (JHC80 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1102))

Abstract

Markov decision processes (MDPs) in queues and networks have been an interesting topic in many practical areas since the 1960s. This paper Provides a detailed overview on this topic and tracks the evolution of many basic results. Also, this paper summarizes several interesting directions in the future research. We hope that this overview can shed light to MDPs in queues and networks, and also to their extensive applications in various practical areas.

Quan-Lin Li was supported by the National Natural Science Foundation of China under grants No. 71671158 and 71932002, and by the Natural Science Foundation of Hebei province under grant No. G2017203277. Li Xia was supported by the National Natural Science Foundation of China under grant No. 61573206. The authors thank X.R. Cao and E.A. Feinberg for their valuable comments and suggestions to improve the presentation of this paper.

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Li, QL., Ma, JY., Fan, RN., Xia, L. (2019). An Overview for Markov Decision Processes in Queues and Networks. In: Li, QL., Wang, J., Yu, HB. (eds) Stochastic Models in Reliability, Network Security and System Safety. JHC80 2019. Communications in Computer and Information Science, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-15-0864-6_3

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