Currently, there is a sufficient number of works devoted to the method of calculating
the reliability of data transmission networks. Most of these methods are aimed at calculating
the exact values of the characteristics of structural connectivity, taking into account the flows
of failures and recovery of the communication network elements. In this case, the incoming
load is not considered. Communication network reliability is assessed taking into account not
only the flows of the element failures and restorations, but also the network management
methods and transmitted information flow. As a result, the characteristics is more informative
than the structural reliability indicator and allows determining the compliance degree of the
developed and existing networks with their functional purpose. To assess the communication
network reliability, a channel model with high reliability is included in the developed network
simulation model. Therefore, it becomes possible to assess the network reliability, taking into
account the failures and restorations of its elements, the control algorithm and message flows
entering the network. The dependence graph of the maximum delay value on the incoming flow
value is presented taking into account the failures and restorations of the communication
channels. Using the graph, it is possible to determine quickly (without using a simulation model
for calculations in each situation) the maximum network delay depending on the intesity of the
incoming messages or solve the inverse maximum network problem throughout a given
communication quality
Currently, there is a sufficient number of works devoted to the method of calculating
the reliability of data transmission networks. Most of these methods are aimed at calculating
the exact values of the characteristics of structural connectivity, taking into account the flows
of failures and recovery of the communication network elements. In this case, the incoming
load is not considered. Communication network reliability is assessed taking into account not
only the flows of the element failures and restorations, but also the network management
methods and transmitted information flow. As a result, the characteristics is more informative
than the structural reliability indicator and allows determining the compliance degree of the
developed and existing networks with their functional purpose. To assess the communication
network reliability, a channel model with high reliability is included in the developed network
simulation model. Therefore, it becomes possible to assess the network reliability, taking into
account the failures and restorations of its elements, the control algorithm and message flows
entering the network. The dependence graph of the maximum delay value on the incoming flow
value is presented taking into account the failures and restorations of the communication
channels. Using the graph, it is possible to determine quickly (without using a simulation model
for calculations in each situation) the maximum network delay depending on the intesity of the
incoming messages or solve the inverse maximum network problem throughout a given
communication quality
| № | Муаллифнинг исми | Лавозими | Ташкилот номи |
|---|---|---|---|
| 1 | Mirzaeva M. . | Senior lecturer | Tashkent University of Information Technologies named after Muhammad al-Khwarizmi |
| 2 | Suleymanov A. . | Ph.D. | (Urgench branch of the TUIT) |
| № | Ҳавола номи |
|---|---|
| 1 | Mirzaeva MB, Sultonov Yo, Gulomov Sh.R. The program for constructing the optimal flow in the network using the system modeling apparatus. Intellectual Property Agency under the Ministry of Justice of the Republic of Uzbekistan DGU 07775. Date of registration 21.02.2020 |
| 2 | Mirzaeva M.B, Sulaymonov A.A. One of the methods for assessing the reliability of a communication network. International Conference on Information Science and Communications Technologies ICISCT 2019. Tashkent. |
| 3 | Mirzaeva M.B, Sagatov M.V, Khmdamova S.M Tulyaganov Z.Y., Method for Evaluating the Performance of Radio Paths. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-9, July 2019. -P.2543-2546 |
| 4 | Mers K. Model of impulse noise in data transmission systems. Statistics of errors in the transmission of digital information. Edited by N.A. Danilov -Moscow: Mir, 1966. - P.169-194 |
| 5 | Tsybizov A.A. Evaluation of the effectiveness of communication networks. Bulletin RGRTU №3 (release 29) Ryazan 2009. |
| 6 | Kurganov, V.A. Kudryashov, A.G. Raschesova. The effectiveness of a communication network based on its stratification as a complex system. SPB: National Research Institute "National Development", 2017. 128 p. |
| 7 | Mirzaeva Malika Bakhadirovna, Sobirov Muzaffar Azatovich. Estimates of Efficiency and Control Methods of Communication Network Functioning. International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) ISSN: 2278-3091, Volume-9, Issue-4, July August 2020. -P.5736-5740 |
| 8 | Popkov G.V., Levakov A.K. The tasks of optimizing the structural reliability and survivability of communication networks in emergency situations. Vestnik of the Buryat State University. 2013 |
| 9 | Lubov Berkman, Oleg Barabash, Olga Tkachenko, AndriMusienko,Oleksand Laptiev, Ivanna Salanda. The Intelligent Control System for infocommunication networks. International Journal of Emerging Trends in Engineering Research. Volume 8. No. 5, May 2020, -PP.1920-1925 |
| 10 | Netes V.A. Reliability of communication networks during the transition to NGN. M: Vestnik of communication No.-. 2007. |
| 11 | Mirzaeva Malika Bakhadirovna. On the issue of assessing the efficiency of communication networks. “ Muҳammad al-Khorazmiy avlodlari” Scientific-practical and information-analytical magazine. № 2 (8) Toshkent-2019 y. B. 50-53. |
| 12 | Mirzaeva M.B. Analysis of the architecture of date network management systems. "Iternauka" collection based on the materials of the XXXVII International Scientific and Practical Conference, ISSN 2587-862X. Moscow-2020 №6 (34) -S. 124-127 |