Technical approach to optimal utilization of telecommunication system bandwidth

Authors

  • I. Yu. Svyda Central Research Institute of the Armed Forces of Ukraine, Ukraine
  • A. O. Zvarych Central Research Institute of the Armed Forces of Ukraine, Ukraine
  • D. A. Bukhal Central Research Institute of the Armed Forces of Ukraine, Ukraine

DOI:

https://doi.org/10.20535/RADAP.2018.73.11-17

Keywords:

bandwidth, information flows, general use telecommunication system

Abstract

At the present time, the opportuneness of commercial operations requires the convergence of different types of traffic and the ensuring of the necessary quality of services related to the transmission of data, voice and video. Consequently, there is need to optimize the telecommunication networks (TСN) functioning with the purpose of timely support of business users processes in real time. It leads to management processes accelerating with increasing the efficiency and the tempo of making rational decisions. However, the continuous increase in the amount of transmission information needed, the number of users that forms a distributed information environment, the complexity of network services lead to an increase of the information intensity exchange in TCN. Failure of any of its telecommunication node leads to changes in routes, intensities of information torrents, operating modes of network elements, etc. In addition, the functioning of the TCN is complicated by the fact that it is constantly exacerbated the growing contradiction between the increasing of the amount of information needed to make a management decision and the reduction of time for the cycle of business processes management. Today, a considerable practical interest is the study of issues related to the optimization of the use of such limited resource as the productive capacity of TCN, which is an actual scientific task. As a result of the conducted researches for the efficient functioning of TCN at the required level, it is proposed a methodical approach for optimal use of TCN productive capacity during the transmission of information. It allows to determine the optimal routes for transmitting information by the productive capacity indicator and distributing information torrents within their available productive capacity taking into account the classes of user traffic servicing. The first feature of the proposed approach is the application (for the first time) of the nodes and the limits method for optimal routes calculating for information transmission in the TCN. The second feature is to take into account the classes of user traffic servicing during the distribution of information torrents within the calculated TCN productive capacity.

Author Biographies

I. Yu. Svyda, Central Research Institute of the Armed Forces of Ukraine

Svyda I. Y.

A. O. Zvarych, Central Research Institute of the Armed Forces of Ukraine

Zvarych A. O.

D. A. Bukhal, Central Research Institute of the Armed Forces of Ukraine

Bukhal D. A., Cand. of Sci (Military)

References

Olifer V.G. (2009) Komp'yuternye seti. Printsipy, tekhnologii, protokoly [Computer networks. Principles, technologies, protocols]. SPb., Piter Publ., 164 p.

Broido V.L. (2004) Vychislitel'nye sistemy, seti i telekommunikatsii [Computing systems, networks and telecommunications]. SPb., Piter Publ., 703 p.

Sovetov B.Ya. (2001) Modelirovanie sistem [System Modeling]. Moskow, Vysshaya shkola, 343 p.

Kleinrok L. (1970) Kommunikatsionnye seti: stokhasticheskie potoki i zaderzhki soobshchenii [Communication networks: Stochastic flows and message delays]. Moskow, Nauka, 255 p.

Popovskii V.V., Lemeshko A.V. and Evseeva O.Yu. (2008) Simplitsial'naya model' otsenki strukturnoi slozhnosti telekommunikatsionnykh sistem [Simplicative model of estimation of structural complexity of telecommunication systems]. Eastern-European Journal of Enterprise Technologies, No. 5, pp. 48-51.

Strelkovskaia I.V., Grigorieva T.I. Primenenye teorii modelei i tenzornoho analiza pri modelirovanii telekommunikatsyonnikh sistem [Application of the theory of models and tensor analysis in the modeling of telecommunication systems] // Radiotekhnika: Ukr. scientific-techn. coll., - 2007. - Issue. 148, - P. 102-106.

Pasechnikov I.I. (2004) Metodologiya analiza i sinteza predel'no nagruzhennykh informatsionnykh setei [Methodology of analysis and synthesis of extremely loaded information networks]. Moscow, Mashinostroenie Publ., 250 p.

Lemeshko A.V. and Drobot O.A. (2006) Model' mnogoputevoi QoS-marshrutizatsii v mul'tiservisnoi telekommunikatsionnoi seti [Model of multipath QoS-routing in multiservicing telecommunications network]. Radiotekhnika KhNURE, No. 144, pp. 16-22.

Lemeshko A.V. (2003) Tenzornaya model’ resheniya zadachi mnogoputevoi marshrutizatsii informatsionnogo trafika zadannogo ob"ema s trebuemym vremenem dovedeniya v dvukhpolyusnykh telekommunikatsionnykh setyakh [Tensor model of solving the problem of multipath routing of information traffic of a given volume with the required time in two-pole telecommunication networks]. Applied radio electronics, Vol. 2, No. 2, pp. 49-53.

Lemeshko A.V., Evseeva O. and Garkusha S. (2014) Research on tensor model of multipath routing in telecommunication network with support of service quality by greate number of indices. Telecommunications and Radio Engineering, Vol. 73, Iss. 15, pp. 1339-1360. DOI: 10.1615/telecomradeng.v73.i15.30

Strelkovskaya I. V., Solovskaya I. N. (2010) Using of tensor method for calculating the telecommunications network, which is presented by the nodal network. Problemy telekomunikatsii, No. 1 (1), pp. 68-75. (in Russian)

Kutkovetskyi V.Ya. (2003) Imovirnisni protsesy i matematychna statystyka v avtomatyzovanykh systemakh [Probabilistic processes and mathematical statistics in automatized systems]. Mykolaiv, 170 p.

Lozhkovskyi A.H. (2010) Teoriia masovoho obsluhovuvannia v telekomunikatsiiakh [Mass service theory in telecommunications]. Odesa, ONAZ im. O.S. Popova, 112 p.

Bovda Yu.O., Pluhova O.B. and Bondarenko V.H. (2017) Metod obmezhennia vkhidnoho navantazhennia v SDN merezhakh [The method of the interference in the inventory in the SDN networks]. Zbirnyk naukovykh prats Viiskovoho instytutu telekomunikatsii ta informatyzatsii, Iss. 3, pp. 17-24.

Sbitniev A. I., Volobuiev A.P. and Bukhal D.A. (2012) Alhorytm vyznachennia zv’iaznosti viiskovoi retransliatsiinoi systemy rukhomoho radiozv’iazku [Algorithm for determining the coherence of the mobile military relay radio communication system]. Suchasni informatsiini tekhnolohii u sferi bezpeky ta oborony, Iss. 3, pp. 46-49.

Dunsmore B. and Skanier T. (2003) Telecommunications Technologies Reference, Cisco Press, 640 p.

Amato V. (2000) Cisco networking essentials. Volume 1 . Cisco Press, P. 512 p.

P'yavchenko T.A. and Finaev V.I. (2007) Avtomatizirovannye informatsionno-upravlyayushchie sistemy [Automated information-control systems]. Taganrog, TRTU, 271 p.

Published

2018-06-30

Issue

Section

Telecommunication, navigation and radar systems, electroacoustics