The Concept of an Adaptive Network Resources Control Mechanism

Authors

  • Леонид [Leonid] Иванович [I.] Абросимов [Abrosimov]
  • Павел [Pavel] Александрович [A.] Ледовский [Ledovsky]

DOI:

https://doi.org/10.24160/1993-6982-2017-4-92-100

Keywords:

software-defined networking, corporate computer networks, adaptive control mechanism, priority users

Abstract

The concept of a mechanism for adaptive control of resources available in a corporate computer network is considered. The main trends in the development of computer networks are described, and the main problems requiring additional research and development are pointed out. The existing methods for distributing load among the available network resources in an automated manner are subjected to a comparative analysis. A mechanism for adaptively altering the network users’ priorities and redirecting the transactions forming the data traffic flows in the peak load modes on the basis of software-defined networking principle is proposed. An algorithm for implementing the developed mechanism is presented. The objective that has been set forth is solved by integrating a dedicated controller into the corporate computer network topology. The abovementioned controller is essentially a computerized module that performs the basic functions of monitoring the network resources, identifying the priority pairs of users initiated the transmission of data blocks, determining the backup routes, creating a data flow tables, and assigning the shaped flows to the network switches. An example corporate computer network is considered, in which high-performance host machines exchange large amounts of data in the real time mode using the main and backup communication channels. The feasibility of the proposed concept of the adaptive network resource control mechanism has been confirmed experimentally. The results of experimental testing carried out on a corporate computer network fragment are presented, which confirm an increase in the data transmission rate between a pair of priority users in comparison with the channel aggregation mechanism.

Author Biographies

Леонид [Leonid] Иванович [I.] Абросимов [Abrosimov]

Science degree: Dr.Sci. (Techn.)

Workplace: Computing Machines, Systems and Networks Dept., NRU MPEI

Occupation: Professor

Павел [Pavel] Александрович [A.] Ледовский [Ledovsky]

Workplace: Computing Machines, Systems and Networks Dept., NRU MPEI

Occupation: Рh.D.-student

References

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2. Efimov V.V., Mescheryakov S.V., Shchemelinin D.A. Integrated Management and Big Data Exchange in a Globally Distributed Corporative Network – Architecture, Methods of Control, Modeling and Design of Computer Networks, 2016.

3. Абросимов Л.И. Основные положения теории производительности вычислительных сетей // Вестник МЭИ.
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4. Смелянский Р. Программно-конфигурируемые сети [Электрон. ресурс]. http://www.osp.ru/os/2012/09/
13032491/ (дата обращения 15.05.2017)

5. William E.S. CS 154: Introduction to Mininet. Yu.: Ateneo de Manila University, 2014.
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Для цитирования: Абросимов Л.И., Ледовский П.А. Концепция механизма адаптивного управления сетевыми ресурсами // Вестник МЭИ. 2017. № 4. С. 92—100. DOI: 10.24160/1993-6982-2017-4-92-100.
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1. Abrosimov L.I. Bazisnye Metody Proektirovaniya i Analiza Setey EVM. M.: Universitetskaya Kniga, 2015. (in Russian)

2. Efimov V.V., Mescheryakov S.V., Shchemelinin D.A. Integrated Management and Big Data Exchange in a
Globally Distributed Corporative Network – Architecture, Methods of Control, Modeling and Design of Computer
Networks, 2016.

3. Abrosimov L.I. Osnovnye Polozheniya Teorii Proizvoditel'nosti Vychislitel'nyh Setey, MPEI Vestnik. 2001;4:70 —75. (in Russian).

4. Smelyanskiy R. Programmno-konfiguriruemye Seti [Elektron. Resurs]. http://www.osp.ru/os/2012/09/13032491/ (Data Obrashcheniya 15.05.2017). (in Russian)

5. William E.S. CS 154: Introduction to Mininet. Yu.: Ateneo de Manila University, 2014.
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For citation: Abrosimov L.I. , Ledovsky P.A. The Concept of an Adaptive Network Resources Control Mechanism. MPEI Vestnik. 2017; 4: 92—100. (in Russian). DOI: 10.24160/1993-6982-2017-4-92-100.

Published

2019-01-16

Issue

Section

Informatics, computer engineering and control (05.13.00)