The Construction and Analysis of Models of the Input Switch in a Network with Optical Switching
- Authors: Samuylov KE1, Buzhin IG2, Mironov YB2
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Affiliations:
- Peoples’ Friendship University of Russia (RUDN University)
- m/u 33965
- Issue: Vol 25, No 2 (2017)
- Pages: 133-140
- Section: Mathematical Teletraffic Theory and Telecommunication Networks
- URL: https://journals.rudn.ru/miph/article/view/15800
- DOI: https://doi.org/10.22363/2312-9735-2017-25-2-133-140
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Abstract
Currently, there are two generally recognized principles of switching of information signals in high-speed networks: networks with wave routing, and networks with the principle of optical packet switching. In networks with wave routing it is not required to produce opto-electrical and electro-optical conversions and to create a buffer, but with this switching principle the working range of wavelengths is not efficiently used. In networks with optical packet switching the traffic is transmitted in packets, which consist of a header and an information part of a consistent size. In this case, using of the frequency range is the most complete, but there is a need of optical-electronic conversions. In an effort to combine the advantages of two optical switching technologies, a new combined switching principle was proposed, called optical switching bursts. In this technology there are not buffering and electronic processing in intermediate nodes, there is a reservation of the channel for a limited time. For the effective implementation of such a network connection, we must calculate its probability characteristics. To assess probabilistic characteristics of the network the methods of theory of mass service are widely used. The input switch is one of the key devices on the network. The article describes the input switch of the network with the optical switching of bursts, calculates the probable characteristics of the network using analytical and simulation models. Examples of the calculation of the probability of blocking of packets flowing in the input switch are presented.
About the authors
K E Samuylov
Peoples’ Friendship University of Russia (RUDN University)
Email: ksam@sci.pfu.edu.ru
Department of Applied Probability and Informatics 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
I G Buzhin
m/u 33965
Email: bigvrn93@mail.ru
Moscow, Russian Federation
Y B Mironov
m/u 33965
Email: mistiam@gmail.com
Moscow, Russian Federation