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Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Multiservice telecommunication system"

1

Humbatov, R. T., B. G. Ibrahimov, A. A. Alieva, and R. F. Ibrahimov. "Approaches to the Analysis Performance Indicators Multiservice Telecommunication Networks Based on SDN Technology." INFORMACIONNYE TEHNOLOGII 27, no. 8 (August 11, 2021): 419–24. http://dx.doi.org/10.17587/it.27.419-424.

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Анотація:
The quality of functioning multiservice telecommunication networks based on the architectural concept Next Generation Network (NGN) and Future Networks (FN) using modern innovative technologies has been analyzed. Based on the study, a new approach to the construction model for assessing performance indicators multiservice telecommunication networks based on SDN (Software Defined Networking) technologies, taking into account the property self-similarity traffic is proposed. On the basis of the proposed approach, complex indicators MTS were investigated, taking into account the requirement QoS (Quality of Service) and QoE (Quality of Experience). The mathematical apparatus and the results of the study throughput software and hardware complexes, the probabilistic-time characteristics of the network and the management physical resources in the provision multimedia services are presented. Models have been investigated and analytical expressions have been obtained for the assessment complex indicators of the quality offunctioning MTS in the provision multimedia services with the necessary parameters. А numerical analysis is carried out and a graphical dependence of the maximum network throughput on the total number software and hardware systems for a given system load factor is built.
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2

Bezruk, Valeriy, Daria Chebotareva, and Yulia Skoryk. "MULTICRITERIA SELECTION OF THE OPTIMAL DESIGN OPTIONS OF TELECOMMUNICATION FACILITIES." Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, no. 4 (December 16, 2018): 16–19. http://dx.doi.org/10.5604/01.3001.0012.8014.

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Анотація:
The peculiarities of the application of methods of multicriteria optimization in the choice of optimal design options of telecommunication facilities taking into account a set of quality indicators are considered. Examples of multicriteria analysis and the choice of optimal variants for various telecommunication facilities, in particular, the variants of radio network construction of a mobile communication system, the structure and methods of routing in multiservice networks, ad-hoc networks, sensor and actuator networks, as well as mobile communication technologies of the 4th generation are provided.
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3

Lozhkovskyi, A. G., and K. D. Guliaiev. "CALCULATING METHOD OF THE PACKET NETWORK ACCESS TRAFFIC CAPACITY FOR IoT DEVICES." Proceedings of the O.S. Popov ОNAT 1, no. 2 (December 31, 2020): 31–40. http://dx.doi.org/10.33243/2518-7139-2020-1-2-31-40.

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Анотація:
When creating packet networks of a new generation, the problem of calculating the throughput of broadband multiservice access networks arises. In practice, for this they use mathematical modeling, or without proper justification, the traditional formulas of the theory of information distribution. The well-known analytical solution for ATM technology is extremely cumbersome and practically not used. Today, there is not generally accepted analytical or engineering method for solving the problem. At the same time, telecommunication networks must develop to provide all the necessary conditions for the practical application of the concept of the Internet of Things (IoT). One of these conditions is the maintenance of multiservice traffic with specified quality of service indicators. The paper developed a method for calculating the bandwidth or the number of conditional channels of a packet access network for IoT devices. In this case, the calculation of the bandwidth of the access network of IoT devices is performed at the level of calls and packets separately. At the level of calls from IoT devices, the Engset model is used for traffic due to the small number of groups of the devices themselves, and at the packet level, the model of self-similar flow is applied. Calculation of quality of service characteristics in a packet communication network is reduced to determining the Hurst coefficient of self-similarity of traffic, after which the average number of packets in the system is calculated using the well-known Norros formula. Other characteristics, such as the average number of packets in the queue, the average residence time of packets in the system and the average delay time of packets in a single-channel system, are calculated based on their functional relationship with the previously calculated average number of packets in the system. Based on the approximation of the distribution function of the system states, the probability of waiting for packet servicing and the average delay time of packets in the packet switch queue are calculated.
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Maharramov, Zakir, Vugar Abdullayev, and Tamilla Mammadova. "MODELLING SELF-SIMILAR TRAFFIC OF MULTISERVICE NETWORKS." EUREKA: Physics and Engineering 1 (January 31, 2019): 46–54. http://dx.doi.org/10.21303/2461-4262.2019.00841.

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Анотація:
Simulation modelling is carried out, which allows adequate describing the traffic of multiservice networks with the commutation of packets with the characteristic of burstiness. One of the most effective methods for studying the traffic of telecommunications systems is computer simulation modelling. By using the theory of queuing systems (QS), computer simulation modelling of packet flows (traffic) in modern multi-service networks is performed as a random self-similar process. Distribution laws such as exponential, Poisson and normal-logarithmic distributions, Pareto and Weibull distributions have been considered. The distribution of time intervals between arrivals of packages and the service duration of service of packages at different system loads has been studied. The research results show that the distribution function of time intervals between packet arrivals and the service duration of packages is in good agreement with the Pareto and Weibull distributions, but in most cases the Pareto distribution prevails. The queuing systems with the queues M/Pa/1 and Pa/M/1 has been studied, and the fractality of the intervals of requests arriving have been compared by the properties of the estimates of the system load and the service duration. It has been found out that in the system Pa/M/1, with the parameter of the form a> 2, the fractality of the intervals of requests arriving does not affect the average waiting time and load factor. However, when 𝑎≤2, as in the M/Pa/1 system, both considered statistical estimates differ. The application of adequate mathematical models of traffic allows to correctly assess the characteristics of the quality of service (QoS) of the network.
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5

Novikov, Sergei. "MATHEMATICAL MODEL OF FUNCTIONING OF MODERN TELECOMMUNICATION SYSTEMS IN THE CONDITIONS OF EXTERNAL DELIBERATE DESTRUCTIVE INFLUENCES." Interexpo GEO-Siberia 9 (2019): 3–14. http://dx.doi.org/10.33764/2618-981x-2019-9-3-14.

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Анотація:
The paper proposes a mathematical model of the functioning of a multiservice communication network under external destructive influences, taking into account: network structure, capacity of message transmission paths; probabilistic-temporal parameters (intensity of income, density of distribution) of information packet of messages of various applications entering the network; routing method.
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6

Ibrahimov, Bayram G., Mehman F. Binnatov, and Yalchin S. Isayev. "THE INVESTIGATION AND EVALUATION MULTISERVICE NETWORK NGN/IMS FOR MULTIMEDIA TRAFFIC." SYNCHROINFO JOURNAL 6, no. 3 (2020): 10–13. http://dx.doi.org/10.36724/2664-066x-2020-6-2-10-13.

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Анотація:
The subject of the study is multiservice communication network using the concept NGN (Next Generation Network) based on the open network architecture IMS (Internet Protocol Multimedia Subsystem), supporting a wide range services. The basis of this architecture is the IMS core, consisting of a set of specialized modules responsible for various functions for customer service. The purpose of the article is to analyze the existing technical capabilities of the IMS multimedia messaging subsystem and perspective solutions for the functioning of the NGN/IMS network efficiency in providing multimedia service. As the efficiency of the system, the capacity NGN/IMS networks is selected using the signaling system and protocols NGN. The capacity NGN/IMS networks during the establishment of a multimedia session was analyzed and the functional architecture of the IMS multimedia messaging subsystem that determine the interaction NGN signaling systems an protocols was explored. Manage the presentation Triple Play services to subscribers and simultaneously modify the media stream within the session allows the protocol for the initialization of the SIP and Diameter sessions, which are the main IMS signaling protocol. One of the important requirements for the IMS subsystem is the maintenance QoS (Quality of Service). A mathematical model for estimating the quality of communication services using a system GI/G/1/N based on the theory diffusion approximation is proposed. The research presented in this paper is very important for the theory queuing systems, since the article proposes a method for investigating multiservice communication networks with non-Poisson incoming flow and effective results are obtained for NGN/IMS networks. On the basis of the model analytical expressions are obtained, which allow evaluating the performance indicators of the Triple Play service. The proposed mathematical model can be used to solve a wide range of practical problems, including the management multiservice traffic in the process its transmission in multiservice telecommunications networks, taking into account the quality of service classes. Thus, studies NGN/IMS network capacity indicators using SIP protocols are relevant.
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7

Likhttsinder, Boris Ya, and Yulia O. Bakai. "DELAYS IN QUEUES OF QUEUING SYSTEMS WITH STATIONARY REQUESTS FLOWS." T-Comm 15, no. 2 (2021): 54–58. http://dx.doi.org/10.36724/2072-8735-2021-15-2-54-58.

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Анотація:
During all periods of the study of telecommunications systems traffic, the analysis was based on mass service theory. The subjects of the study here are request flows to be processed by some limited performance resources. Resource constraints and the random nature of requests’ receipt lead to refusals in processing or queues. The first works devoted to the analysis of teletraffic belong to A. K. Erlang. Request flows represented flows of requests for connections in networks with channel switching. Since requests were received from a large number of independent users, the flows of such requests could be defined as stationary, ordinary with no effect, or as recurring requests, with an exponential distribution of time intervals between neighboring requests. Connection request flows to a telephone exchange node are a superposition of a large number of low-intensity flows from independent users. Therefore, the fixed Poisson flow model describes the real flows in telephone exchanges with channel switching quite well. Therefore, the stationary Poisson flow model describes real flows in telephone exchanges with channel switching rather well. The emergence of telecommunications networks with packet switching, especially multiservice networks, showed the impossibility of using Poisson flow models for their analysis. The article is devoted to the analysis of delays in queues of queuing systems with correlated stationary flows of general type requests. The traffic of packets in multiservice networks is typically characterized by a high degree of correlation. On the basis of interval methods of analysis, the relations generalizing the Khinchin-Pollaczek formula for the average value of waiting time in queuing systems with flows of the general kind of requests are obtained. The main parameters to be analyzed when outputting the above formulas are time intervals between neighboring requests. It is shown that the values of time delays in queues depend on the dispersion and dispersion index of a random value characterizing the degree of additional maintenance of processed requests.
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8

Seilov, Shakhmaran Zh, Vadim Yu Goikhman, Yerden Zhursinbek, Mereilim N. Kassenova, Daniyar S. Shingissov, and Akhmet T. Kuzbayev. "USE OF ELEMENTS OF ARTIFICIAL INTELLIGENCE IN THE ANALYSIS OF INFOCOMMUNICATION TRAFFIC." T-Comm 14, no. 12 (2020): 66–71. http://dx.doi.org/10.36724/2072-8735-2020-14-12-66-71.

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Анотація:
Modern communication networks are based on multi-service networks, which are a single telecommunications structure that can transmit large volumes of multi-format information (voice, video, data) and provide users with a variety of information and communication services. Traffic transmitted in multiservice networks differs significantly from traditional traffic of telephone or other homogeneous networks. Knowledge of the nature of modern traffic is necessary for the successful construction, operation and development of multi-service communication networks, providing users with high-quality services, and efficient use of funds allocated for network development. To learn the properties of infocommunication traffic, new methodological techniques are currently used, as well as promising information technologies such as Big Data and data mining. The article is devoted to the use of such elements of artificial intelligence as expert systems and neural network technologies in relation to the analysis of infocommunication traffic. The article examines the structure of expert systems, analyzes the applied search strategies and decision-making methods. The article also provides an overview of the architecture of neural networks in relation to traffic analysis tasks. The traffic analysis task is a classification task. The feasibility of using multi-layer neural networks with direct signal propagation for traffic analysis is shown. The following neural network architecture was chosen: the input layer, in accordance with the dimension of the input signal, contained 51 neurons, two hidden layers with 20 and 10 neurons, respectively, and the output layer with five neurons, according to the number of specified types of distributions. The results obtained showed a satisfactory quality of the neural network developed and trained in the framework of the research.
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9

Tigarev, V., P. Shvahirev, O. Lopakov, V. Kosmachevskiy, and Y. Barchanova. "SIMULATION MODELING OF ADAPTIVE ROUTING UNDER EXTERNAL DESTROYING EFFECTS IN NGN NETWORKS." Odes’kyi Politechnichnyi Universytet Pratsi 3, no. 62 (December 2020): 101–12. http://dx.doi.org/10.15276/opu.3.62.2020.12.

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Анотація:
Modern subscribers of infocommunication services require a wide class of different services and applications, implying a wide variety of protocols, technologies and transmission rates. Networks are overloaded in the prevailing situation in the market of infocommunication services: they are overflowing with numerous customer interfaces, network layers and are controlled by too many control systems. High operating costs are pushing operators to look for solutions that simplify the operation, while maintaining the possibility of creating new services and ensuring the stability of existing sources of income from the provision of communication services. The NGN concept is the concept of building next-generation communication networks (Next-generation network), providing an unlimited set of services with flexible settings for their management, personalization, creation of new services through the unification of network solutions. Multiservice network is a communication network that is built in accordance with the NGN concept and provides an unlimited set of infocommunication services (VoIP, Internet, VPN, IPTV, VoD, etc.). An NGN is a packet-switched network suitable for the provision of telecommunication services and for the use of multiple broadband transport technologies with QoS enabled, in which the service-related functions are independent of the applied transport technologies. The main feature of NGN networks is the differentiation between services and transport technologies. This allows to view the network as a logically divided entity. Each layer of the network can evolve independently without affecting other layers. Inter-layer communication is based on open interfaces. The logical separation principle allows the provision of both existing and innovative services access technologies regardless of the used transport. The basic principle of the NGN concept is to separate from each other transfer and switch functions, call control functions and service control functions.
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10

Aliev, H. "THE CALCULATING METHOD OF NGN ACCESS NODE CHARACERISICS WHEN SERVICING VOICE AND DATA TRAFFIC." InterConf, December 28, 2021, 509–15. http://dx.doi.org/10.51582/interconf.21-22.12.2021.053.

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Анотація:
Access nodes of NGN networks provide traffic aggregation to various network services and its transfer to the transport layer, which allows calling such networks multiservice.1;2. These networks are used to simultaneously transmit voice, video, and data presented in the from of standard packets. At the same time, network services provide an unlimited set of telecommunication services with specified characteristics of quality of service.1;2 The selected technology of information distribution in the NGN determines the degree of complexity of access nodes and, of course, affects the quality of information exchange service between user terminals. One of the ways to ensure a given level of quality of service for each of the services is the introduction of priority service for certain traffic flows. Introducing priorities for packets is an effective way to manage the size of queues and the time spent in it. When a high-priority packet is received, a packet with a lower priority is either interrupted (absolute priority) or a high priority packet becomes the beginning of the packets queue (relative priority). In this paper, we study the characteristics of NGN access nodes as a two priority queuing system with a limited expectation.5. Formulas for calculating the probability of loss of speech packets, as well as data packets, and other characteristics of the access node have been proposed. The NGN's access nodes provide aggregation of traffic to various services directed by the Public Switched Telephone Network (PSTN) and its transportation to a higher level, which allows you to call such networks multiservice ones. The new generation networks allow simultaneous transmission of mixed streams (voice, video, and data) represented in the form of standard packets. One of the ways to ensure the specified quality of service is to introduce a priority method for servicing traffic flows 5.
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Дисертації з теми "Multiservice telecommunication system"

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Pimonenko, S. V. "Progress in system management trends in the allocation of resources for multiservice telecommunication networks." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40664.

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The successful operation of peer-to-peer network depends on the resilience of its peer‘s communications. On the Internet, direct communications between peers are often limited by restrictions like NATs and traffic filtering. Addressing such problem is particularly pressing for peer-to-peer networks that do not wish to rely on any trusted infrastructure, which might otherwise help the participant establish communication channels. Modern peer-to-peer networks employ various techniques to address the problem of restricted connectivity on the Internet. One interesting development is that various overlay networks now support multiple communication protocols to improve resilience and counteract service degradation.
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2

Мошинська, Аліна Валентинівна. "Стратегії передачі інформації в мультисервісних телекомунікаційних системах". Doctoral thesis, Київ, 2020. https://ela.kpi.ua/handle/123456789/34482.

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Дисертацію присвячено реалізації нових підходів оцінки ефективності сучасних мультисервісних телекомунікаційних систем. Вперше пропонується об'єднана концепція для відомих і перспективних технологій, пов'язаних з фундаментальним знанням (теорії інформації, теорії завадостійкості, теорії кодування), не втративши при цьому, напрацьованих специфічних особливостей відповідних інженерних методик. Вирішується задача наукового обґрунтування процедур встановлення відповідності між комплексами вимог (Сценаріями) і способами забезпечення своєчасної та достовірної передачі масивів мультисервісної інформації (Стратегіями). В цілому робота присвячена методології формування Телекомунікаційних стратегій Фізичного рівня на основі різноманітних Сценарних концепцій діючих і перспективних мультисервісних телекомунікаційних систем. В роботі пропонується порівняння сучасних мультисервісних телекомунікаційних систем за показником інформаційної ефективності.
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3

Hadjitheodosiou, Michael H. "Performance optimisation of multiple access protocols for multiservice VSAT networks." Thesis, University of Surrey, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362639.

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4

Rhee, Seung Hyong. "Optimal flow control and bandwidth allocation in multiservice networks : decentralized approaches /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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5

Lee, Tae-jin. "Traffic management and design of multiservice networks : the Internet and ATM networks /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Книги з теми "Multiservice telecommunication system"

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Ross, Keith W. Multiservice loss models for broadband telecommunication networks. Berlin: Springer, 1995.

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2

Ross, Kazemi, and Dry Bil, eds. Cisco multiservice switching networks. Indianapolis, IN: Cisco Press, 2003.

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3

M, Ajmone Marsan, ed. Quality of service in multiservice IP networks: Third international workshop, QoS-IP 2005, Catania, Italy, February 2-4, 2005 : proceedings. Berlin: Springer, 2005.

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4

Pignataro, Carlos, Ross Kazemi, and Bil Dry. Cisco Multiservice Switching Networks. Cisco Press, 2002.

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5

(Editor), Jose Brazio, Phuoc Tran-Gia (Editor), Nail Akar (Editor), Andrzej Beben (Editor), Wojciech Burakowski (Editor), Markus Fiedler (Editor), Ezhan Karasan (Editor), et al., eds. Analysis and Design of Advanced Multiservice Networks Supporting Mobility, Multimedia, and Internetworking: COST Action 279 Final Report. Springer, 2005.

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6

(Editor), Marco Ajmone Marsan, Giuseppe Bianchi (Editor), Marco Listanti (Editor), and Michaela Meo (Editor), eds. Quality of Service in Multiservice IP Networks: Third International Workshop, QoS-IP 2005, Catania, Italy, February 2-4, 2005 (Lecture Notes in Computer Science). Springer, 2005.

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Частини книг з теми "Multiservice telecommunication system"

1

Ross, Keith W. "Multiservice Loss Systems." In Multiservice Loss Models for Broadband Telecommunication Networks, 1–16. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-2126-8_1.

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2

Strassner, John. "Using Lifecycles and Contracts to Build Better Telecommunications Systems." In Universal Multiservice Networks, 483–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30197-4_48.

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3

Naumov, Valeriy, Yuliya Gaidamaka, Natalia Yarkina, and Konstantin Samouylov. "Multiservice Loss Networks." In Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems, 53–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83132-5_3.

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4

Bean, N. G., R. J. Gibbens, and S. Zachary. "The Performance of Single Resource Loss Systems in Multiservice Networks." In The Fundamental Role of Teletraffic in the Evolution of Telecommunications Networks, 13–21. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-444-82031-0.50010-x.

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5

Georgiadou, Evangelia M., Ioannis Chochliouros, George Heliotis, and Maria Belesioti. "Strategies for Next Generation Networks Architectures." In Encyclopedia of Multimedia Technology and Networking, Second Edition, 1351–58. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch182.

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Анотація:
As the technological scene of the 21st century changes rapidly, new facts for telecom and networks are coming to the front. Users’ growing demands for enhanced multimedia services on one hand and expanding infrastructure on the other lead to the realization of innovative networks, able to serve more subscribers more efficiently. Past technologies have failed to meet the present and immediate needs for integrated services and applications of real time traffic and high data volumes, high speed Internet, video on demand, and mobile communications everywhere and all the time (Chochliouros & Spiliopoulou, 2003). Globalization and deregulation of the market stimulate increased competition and call for integration of existing switching, optical, satellite, and wireless technologies (Commission of the European Communities, 2006). In the telecom industry new commercial opportunities are introduced. Internet and data services growth, in combination with increased maturity of packet-based technologies, results in the redrawing of traditional telecommunications architectures (Barnes, & Jackson, 2002). High quality, distributed, multiservice networks, with advanced features of flexibility and reliability, are now feasible, accommodating both circuit-switched voice and packet-switched data (Chochliouros & Spiliopoulou, 2005). This key architectural evolution in telecommunication core and access networks is described under the broad term “next generation networking (NGN).” Next generation networks, which are expected to be deployed in the markets over the next years, base their operation on packet transport of all information and services, voice, data, or multimedia. Encapsulation into packets is commonly implemented via the Internet protocol (IP), whereas services become independent of transport details, thus enabling improved functionality at the edge of the network, extreme scalability, and higher availability (European Commission, 2005). Nevertheless, the industry shift from centralized switches to “next generation” distributed, enhanced service platforms arises very important issues. Interoperability with existing networks is implicit, while great challenges appear in the conversion strategies towards implementing and exploiting the new architecture. Conventional communication systems need to evolve smoothly to NGN, through well-defined and carefully- planned transition procedures, in order for true convergence to take place.
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Тези доповідей конференцій з теми "Multiservice telecommunication system"

1

Mescheryakov, Serg, Dmitry Shchemelinin, and Vadim Efimov. "Adaptive control of cloud computing resources in the Internet telecommunication multiservice system." In 2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2014. http://dx.doi.org/10.1109/icumt.2014.7002117.

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2

Moshynska, Alina. "Shaping the telecommunication strategies for multiservice system based on information society scenarios." In 2016 International Conference "Radio Electronics & Info Communications" (UkrMiCo). IEEE, 2016. http://dx.doi.org/10.1109/ukrmico.2016.7739633.

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Bezruk, V. M., and Bukhanko O. M. Kharkov. "Control mode of network resources in multiservice telecommunication systems on basis of distributed system of agents." In 2010 20th International Crimean Conference "Microwave & Telecommunication Technology" (CriMiCo 2010). IEEE, 2010. http://dx.doi.org/10.1109/crmico.2010.5632462.

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Naritnik, T. N., A. G. Voytenko, A. Bokan, and I. A. Timoshenko. "Control system for large-scale multiservice wide-band networks of common access." In 2004 14th International Crimean Conference "Microwave and Telecommunication Technology". IEEE, 2004. http://dx.doi.org/10.1109/crmico.2004.183089.

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Al-Zubaidy, Hussein, Ioannis Lambadaris, and Ioannis Viniotis. "Optimal Resource Scheduling in Wireless Multiservice Systems with Random Channel Connectivity." In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, 2009. http://dx.doi.org/10.1109/glocom.2009.5425999.

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Ibrahimov, B. G., M. H. Hasanov, and F. H. Agayev. "Research and Analysis Comprehensive Indicators Efficiency in Links of Multiservice Communication Networks." In 2021 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). IEEE, 2021. http://dx.doi.org/10.1109/weconf51603.2021.9470675.

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Elagin, V. S., B. S. Goldshtein, A. V. Onufrienko, I. A. Belozerzev, and A. A. Savelieva. "Modeling OTT services in multiservice networks in order to synchronize and prioritize traffic." In 2018 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2018. http://dx.doi.org/10.1109/synchroinfo.2018.8456968.

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Chatzidrossos, Ilias, and Viktoria Fodor. "On the effect of free-riders in P2P streaming systems." In 2008 4th International Telecommunication Networking Workshop on QoS in Multiservice IP Networks (IT-NEWS). IEEE, 2008. http://dx.doi.org/10.1109/itnews.2008.4488122.

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