Analysis of wavelength reservation based quality of service differentiation in optical burst switching networks using Markov model

Autor: Ravi Sankar Barpanda, Ashok Kumar Turuk, Bibhudatta Sahoo
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Egyptian Informatics Journal, Vol 22, Iss 3, Pp 363-372 (2021)
Druh dokumentu: article
ISSN: 1110-8665
DOI: 10.1016/j.eij.2016.06.006
Popis: With 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.
Databáze: Directory of Open Access Journals