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Online Self-Organizing Network Control with Time Averaged Weighted Throughput Objective
Joint Authors
Zhang, Zhicong
Yan, Xiaohui
Li, Shuai
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We study an online multisource multisink queueing network control problem characterized with self-organizing network structure and self-organizing job routing.
We decompose the self-organizing queueing network control problem into a series of interrelated Markov Decision Processes and construct a control decision model for them based on the coupled reinforcement learning (RL) architecture.
To maximize the mean time averaged weighted throughput of the jobs through the network, we propose a reinforcement learning algorithm with time averaged reward to deal with the control decision model and obtain a control policy integrating the jobs routing selection strategy and the jobs sequencing strategy.
Computational experiments verify the learning ability and the effectiveness of the proposed reinforcement learning algorithm applied in the investigated self-organizing network control problem.
American Psychological Association (APA)
Zhang, Zhicong& Li, Shuai& Yan, Xiaohui. 2018. Online Self-Organizing Network Control with Time Averaged Weighted Throughput Objective. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1152563
Modern Language Association (MLA)
Zhang, Zhicong…[et al.]. Online Self-Organizing Network Control with Time Averaged Weighted Throughput Objective. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1152563
American Medical Association (AMA)
Zhang, Zhicong& Li, Shuai& Yan, Xiaohui. Online Self-Organizing Network Control with Time Averaged Weighted Throughput Objective. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1152563
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152563