ANALYSIS PERFORMANCE MULTISERVICE TELECOMMUNICATION NETWORKS WITH USING ARCHITECTURAL CONCEPT FUTURE NETWORKS
Bayram G. Ibrahimov, Azerbaijan Technical University, Baku, Azerbaijan, email@example.com
Ramiz T. Humbatov, Institute of Control Systems NASA, Baku, Azerbaijan, firstname.lastname@example.org
Rufat F. Ibrahimov, Institute of Control Systems NASA, Baku, Azerbaijan, email@example.com
In this article, the subject of study is a network multiservice infrastructure based on the architectural concept future networks FN (Future Network) with using the technology software- defined network — SDN (Software Defined Networks), which supports a wide range of services. The basis of this architecture is multiservice telecommunications networks with using SDN technology, consisting a set of specialized modules, responsible for various functions for organizing network interaction. SDN is a dynamic, manageable and adaptable network architecture, which is divided into network management and data transmission levels, which provides software network management.
The purpose of this work is to research and analyze MTN performance indicators based on the architectural concept FN with using SDN technologies in the provision multimedia service. As the SDN network performance, the probability -time characteristics of the useful and service traffic, the risks to the threat information security, and the resiliency indicators of the functioning of the systems where chosen. The complex performance indicators multiservice telecommunications network based on FN network with using SDN technologies are investigated.
As a result MTN research using the architectural concepts FN networks, a mathematical model network performance is proposed. Analytical expressions are obtained, allowing to evaluate indicators quality of service, information security and fault tolerance of the functioning of the system when providing multimedia services.
Keywords: future networks, SDN, reliability, performance, fault tolerance, firewalls, quality of service, security risk, DDoS attack.
- Goranson P., BlackC.,Culver T. (2017). Software-Defined
Networks: A Comprehensive Approach. Cambridge Elsevier. 409 p.
- Efimushkin V.A., Ledokovskikh T.V., Ivanov A.B., Shalaginov V.A. (2018).The role of SDN/NFV technologies in the digital economy infrastructure. Experience of testing and implementation. Telecommunications. No. 3, pp.27-36.
- Ateya A., Vybornova A., Samouylov K., Koucheryavy A. (2017). System Model for Multi-level Cloud Bazed Tactile Internet System. Lecture Notes in Computer Science. Vol.10372, pp.77-86.
- Roslyakov A.V., Vanyashin S.V. (2015). Future Networks.
Samara. PSUTI, 274 p.
- Ibrahimov B.G. (2018). Analysis Multiservice Telecommunication Networks of the FN on the Basis of the Architectural Concept SDN & NFV and IMS. Scientific Works AzTU. No.3, pp. 34-38.
- Samouylov K., BotvinkoA., Zaripova E. (2016). Estimating the time for establishing a session between users in the presence of a firewall. Bulletin of the Peoples’ Friendship University of Russia. Series Mathematics. Computer science. Physics. Vol.1, pp. 59-66.
- Kerner Y. (2008).The conditional distribution of the residual service time in the Mn/G/1 queue. Stoch. Models. Vol. 24, pp. 364-375.
- Ibrahimov B.G., Ismaylova S.R. (2018). The Effectiveness NGN/IMS Networks in the Estab- lishment of a Multimedia Session. American Journal of Networks and Communications. Vol. 7, pp. 1-5.
- Romanov M. (2007). Fault Tolerant Security. Storage News.
Vol. 2, pp. 20-24.
- Sokolov A.H., Sokolov H.A. (2010). Single line Queuing
Systems. Teledom, St. Petersburg.
- 11. Abouee-Mehrizi H., Baron O. (2016). State-dependent M/G/1 queuing systems. Queueing Systems. Vol. 82, pp. 121-148.
Information about authors:
Bayram G. Ibrahimov, Doctor of Technical Sciences, Professor, Department of «Multichannel telecommunication systems», Azerbaijan Technical University, Baku, Azerbaijan
Ramiz T. Humbatov, Doctor of Technical Sciences, Professor, Institute of Control Systems NASA, Baku, Azerbaijan
Rufat F. Ibrahimov, Doctorant of the Institute of Control Systems NASA, Baku, Azerbaijan