文章基本信息

标题：Analysis of wavelength reservation based quality of service differentiation in optical burst switching networks using Markov model
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作者：Ravi Sankar Barpanda ; Ashok Kumar Turuk ; Bibhudatta Sahoo 等
期刊名称：Egyptian Informatics Journal
印刷版ISSN：1110-8665
出版年度：2021
卷号：22
期号：3
页码：363-372
DOI：10.1016/j.eij.2016.06.006
语种：English
出版社：Elsevier
摘要：AbstractWith the increased usage of time-critical applications, the need for differentiation among service classes has become a major goal in research communities. Optical burst switching (OBS) is one of the most promising switching technologies to cope with heavy traffic diversity. To satisfy the bandwidth requirement in OBS networks, the recent literature suggests two efficient techniques: one is based on offset time and the other is on wavelength reservation. In this paper, we analyze the wavelength reservation based technique to support a given number of service classes. We describe a Markov model to estimate the blocking probabilities of various service classes. Simulation is conducted at one of the output ports of a core node to validate the model.
关键词：Service differentiation;Optical burst switching;Offset time;Wavelength reservation;Markov model