Multiservice Communication Networks Research Articles

COMPARISON OF HYPEREXPONENTIAL AND GROUP POISSON TRAFFIC MODELSOF MULTISERVICE COMMUNICATION NETWORKS

The goal of the study was to compare hyperexponential and group Poisson flows of requests as models of burst traffic of multiservice communication networks. Various traffic models are considered for the problem of approximating the average queue created by video traffic of modern multiservice networks. Poisson and hyperexponential flows, both ordinary and group, are also considered. It is shown that group flows of both types are suitable for the task of approximating the video traffic queue. Group Poisson flows make it possible to obtain very simple analytical dependences of the average values of queues on the load factor of queuing systems and are therefore the most preferable. The inadequacy of using ordinary hyperexponential models for approximating burst flows of requests is also provided shown, since, at low values of the load factor, the dependences of the average values of queues for hyperexponential flows are practically close to zero, while the indicated dependences for burst flows have a very significant slope angle. The conclusions drawn are confirmed by the results of simulation modeling.

Method of operating assessment of the state of network elements to ensure the quality of services in corporate high­speed multiservice communication networks

The article proposes intelligent methods and algorithms for operational assessment of the state of network elements to ensure indicators of the quality of communication services in corporate multi-service communication networks that function in a mode close to real time. A feature of corporate multi-service networks is the high dynamics of changes in their state. And the task of the automated network management system is to ensure the given quality of communication services. Thus, the relevance of this study is determined by the need to implement network management processes in a mode close to real time, with a given quality. The basis of the method of operational assessment of the state of network elements is the concept of using intelligent agents. In the proposed approach, intelligent agents are created as hierarchical fuzzy situational networks, in which management decisions, in contrast to known methods based on the application of reference situations, are produced on the basis of solving a hierarchical system of optimization tasks based on fuzzy mathematical programming methods. The main paradigm of their functioning is «situation – action». This makes it possible to significantly reduce the dimension of the task to be solved and obtain Pareto-optimal solutions for managing the quality of communication services. The intelligent agent of management solutions can be implemented automatically, provided that the network administrator delegates such capabilities to it. The method of estimating traffic parameters is based on the concept of conditional nonlinear Pareto-optimal filtering. Its essence is to apply a two-stage procedure; at the first stage, a forecast of the values of parameter estimates is made, but in the second, with the receipt of the following observations, their values are adjusted. The average relative error of traffic parameter estimation does not exceed 10%, which is sufficiently operational for managing the quality of communication services.

Estimation of the Noise Immunity Characteristics of Telecommunication Network

The harmful impacts of various interference sources in the communication channel of data transmission systems and an increasing noise immunity in linear distortion conditions are important problems in the development of information transmission systems. To improve reliability and the data receiving accuracy, a mathematical model is developed, which allows to assessment of the survivability of telecommunication systems to interference at incoherent receiving. In this case is assumed that system impact the unintentional sources. The mathematical model considers the communication quality, spectral efficiency, coding method, and modulation principle used during the multimedia services. Presently, the development of the corporate multiservice communication networks is in conditions where the size of user and service traffic packets is rapidly increase. To ensure transmission reliability is promising of an implementation of the coherent modem. It will allow a decrease in the failures of such systems. To increase the transmission rate used coherent modem with noise-resistant characteristics. However, the communication quality in this case is decreased, due to more influence of the inter-symbol interference to the data quality receiving. The synthesis of optimal signals based on rectangular pulses with different shapes by the coherent modem for the data transmission system aims is solved by using of matching filter that has a pulse transient response. To obtain this the frequency limiter is used at the output of the channel digital demodulator. One of the ways to properly solve the problem noted above is by applying in the development of telecommunication multiservice networks the mathematical model with correction ability. This one can be developed based on the optimal signal-receiving theory.

Improving the technology for processing the aggregated data flow of a secure corporate multiservice communication network

This paper considers the process of dynamic reservation of the channel resource of a secure corporate multi-service communication network. It has been established that the processes of building and functioning of the schemes of a secure corporate multi-service communication network and improving the quality of the implementation of its main work processes involve the evaluation and dynamic reservation of channel resources for incoming aggregated data flows of the network. The model of dynamic reservation of the channel resource of the aggregated data stream of the secure corporate multi-service communication network was built and proposed. The proposed model makes it possible to set the quantitative values of the reserved channel resource for different service methods depending on the number of component flows in the total aggregated data flow of the VPN tunnel. It was established that an increase in the density of the aggregated data stream requires an increase in the reserved channel resource. At the same time, its value is influenced by the way of servicing the aggregated data flow in the VPN tunnel of the secure corporate multi-service communication network. Application of the isolated service method gives a gain in the allocated resource for the channel reserve from 10 to 20 percent compared to the group service method for IR and video telephony. This is due to the more flexible management process of the border router's incoming data storage buffer under the isolated service mode. The model of dynamic reservation of the channel resource of the secure corporate multi-service communication network reported in this paper could be used in the improvement of existing and development of new structures of the secure corporate multi-service communication network. The consequence of such an improvement is a reduction in the delay time for the processing of incoming data packets in the specified network

Results of simulation modeling of technical parameters of a multiservice network

In a scientific article, the authors presented the results of simulation modeling of the technical parameters of a multiservice network. As a model of a multiservice communication network for the computational experiment, the model proposed in the previous scientific publications of the author was chosen. The selected model uses the Laplase-Stilles transform. Simulation modeling was carried out using the technical parameters of the multiservice network’s availability factor and network load. Scientific results of experimental research work are given in the form of tables. Relations of the probability of betime servicing of an application on the load of a multiservice communication network for various availability factors and the probability of untimely service of an application on the availability factor for numerous network loadings are obtained. The character of the distribution of costs necessary for the implementation of solutions for different categories of technical operation is shown. Scientific research on determining the objective function’s minimum value is presented in graphs and diagrams. The results of simulation modeling of the technical parameters of multiservice networks are presented in the form of diagrams using the Matlab software environment.

Method for calculation indicators steganographic systems in multiservice communication networks

An analysis of the performance indicators multiservice telecommunication networks using the sixth technological order based on the NGN (Next Generation Network) architectural concept and future FN (Future Networks) networks was carried out to build high-performance steganographic systems with increased covert channels throughput, ensuring the achievement of a certain level information security. Comprehensive criteria for the efficiency the functioning steganographic systems are considered and the channel capacity of the steganosystem as a communication system with packet switching is selected. On the basis of the study, a new approach to constructing a method for evaluating complex indicators of the quality of steganographic communication during embedding and extracting hidden data is proposed. The quality of steganographic communication refers to the properties stegano communication to ensure the efficiency of the system, both timely and reliable transmission of messages. On the basis of the proposed approach, the effectiveness steganographic systems in the construction of covert channels for the transmission secret data transmitted over communication channels was studied. Taking into account the new entropy approach, a method for calculating the indicators of the latent throughput steganographic systems in packet-switched communication networks has been created. As a result of the study calculation method, important analytical expressions were obtained for evaluating complex indicators throughput steganographic systems, such as the throughput of covert channels, the maximum possible value of the performance of a binary source packets, the average packet transmission time with the proposed coding scheme, and the residual throughput of the communication channel.

DIRECTIONS OF OPTIMIZATION OF CORPORATE MULTISERVICE COMMUNICATION NETWORK PROTECTION COMPLEXES

The article considers a comprehensive approach to the protection of information of a corporate multi-service communication network, which consists in the use of technical, hardware- program, and organizational-legal measures of protection. It was determined that the protection of information from unauthorized access and its leakage through technical channels is more effectively achieved by the use of technical means. In order to determine the direction of optimization of the corporate multi-service network protection complexes and general approaches to its implementation, a model of the communication network built according to the hierarchical principle is considered. The place of the corporate network in the communication network is determined. It is noted that a more rational approach to ensuring information protection should be considered the design stage, when it is possible to predict and implement a given level of protection. A general algorithm for designing a corporate network is proposed, which consists of the stages listed in the article. At the first stage, the selection and justification of the general topology of the protected corporate network adapted to the requirements of its users was carried out. The directions of the communication traffic between the sender and the recipient of information through the network are determined. Evaluation and calculation of information flows taking into account the scaling of the network, increasing the intensity and volume of traffic, the systematization of protection functions with the possibility of both generalization and localization of them are the subject of further research. When choosing the types of physical equipment for the provision and implementation of the specified classes and functions, protection is considered for three levels of the network: the hardware part of servers and workstations; communication equipment and communication channels; gateways, bridges and tunnels of the entire diameter of the network, including segments and domains. Identified directions for improving information protection at the hardware, channel, and network support levels. Based on the results of the research, it was concluded that the complexity of solutions to increase information protection is achieved in addition to the technical direction by hardware- software and organizational-legal ones.

Adaptive method and algorithm for the operational estimation of traffic parameters in high-speed corporate multiservice communication networks

The article develops an adaptive method and an algorithm for operational evaluation of traffic characteristics and parameters in high-speed corporate multi-service communication networks, which implements it. This algorithm works in real time. High-speed corporate multi-service networks are characterized by high dynamics of changes in their state, including changes in the characteristics of transmitted traffic. Under these conditions, the automated network management system must ensure the required quality of services and communication services provided to users. The relevance of this study is determined by the need to implement network management processes in a mode close to real time, with a given quality in conditions of dynamic, unknown changes in network characteristics. The basis of the proposed method is the concept of conditional nonlinear Pareto-optimal filtering, which consists in the fact that the estimation of traffic parameters takes place in two stages: at the beginning, the forecast of parameter values is estimated, and then, with the receipt of subsequent parameter observations, their adjustment takes place. The proposed method and algorithm belong to the class of methods and algorithms with prior training. The average relative error of the estimation of traffic parameters does not exceed 7%, which is a sufficient value for the implementation of operational network management tasks.

Comparative analysis of algorithms for estimating traffic parameters in corporate multiservice communication networks

Adequate management of modern corporate communication networks is possible if many control procedures function in near real time. In this case, the processed network monitoring data must have accurate characteristics sufficient for making objective management decisions. This fully applies to the data monitoring of network traffic parameters, which determines the relevance of the proposed work. The proposed in the paper algorithm for on-line estimation of traffic parameters in corporate multiservice communication networks is based on the concept of conditional nonlinear Pareto-optimal filtering V. C. Pugachev. Its essence is that the estimation of traffic parameters is performed in two stages - in the first stage, we evaluate the forecast values of parameters, and in the second, with the next observations of random sequences, we make adjustments to their values. Traffic parameter values forecasts are constructed in a small-sized sliding window, and the adjustment is implemented on the basis of pseudo-gradient procedures whose parameters are adjusted using a fuzzy control algorithm based on the Takagi-Sugeno method. The proposed algorithm belongs to the class of adaptive algorithms with prior learning. The maximum value of the average relative error of estimation of traffic parameters was less than 8.2%, which is a sufficient value for the implementation of operational network management tasks. At the same time, the actual scientific and technical task is to analyze the comparison of the characteristics of the developed adaptive algorithm with the characteristics of the optimal algorithms, the characteristics of which are the maximum achievable. Translated with www.DeepL.com/Translator (free version). The results of a comparison of the proposed method with the optimal Coleman filtration (OKF) are presented.

Оценка эффективности метода синтеза мультисервисной сети связи

The article proposes directions for evaluating the efficiency of the multiservice communication network structure variant, and on the basis of euclidean heuristics, an approach to evaluating the efficiency of the method of synthesizing a multiservice packet-switched communication network consisting in searching for a structure on a limited set of vertices connected by minimum edges by weight, which is a set of independent spanning trees on a limited subset of minimum connections. It is proposed to assess the effectiveness of the method of synthesizing a multiservice communication network for connected saturated graphs, since an accurate analysis of the effectiveness of euclidean heuristics is a difficult analytical task and very significantly depends on both the number and location of vertices and the number of edges incident by it. The given version of estimation of efficiency of method of synthesis of multiservice communication network is based on results of multivariate computational experiment for random saturated graphs, upper limits of characteristics of which are obtained from normative and technical documentation by evaluation analysis of values of parameters of promising multiservice communication networks. Assessment of the set of main and additional actions when searching for the required number of independent spanning trees, the structure of the multiservice communication network in comparison with the Prima algorithm allows us to conclude that, that the synthesis method under consideration enables to obtain a rational solution to the structure synthesis problem, constituting a multiservice communication network in an acceptable time compared to known synthesis methods; which, according to the results of statistical tests for the considered practically important subset of implementation options for promising multiservice communication networks, is two to three times less than the estimate of the time for performing a search on a set of all vertices.

Adaptive Method for Estimating Traffic Characteristics in Corporate Multi-Service Communication Networks for Transport Companies

An adaptive method for estimation the traffic characteristics in high-speed corporate multiservice networks based on the methods of preliminary indistinct computer training, functioning in real time mode, is proposed and investigated in this paper. The relevance of the study is due to the fact that many processes of network management in high-speed corporate multiservice communication networks need to be implemented in a mode close to real time. The approach proposed in the paper is based on the concept of conditional nonlinear Pareto-optimal filtering V. C. Pugachev. The essence of this approach consists in the fact that estimation of the traffic parameter is performed in two stages - on the first stage the parameter value prediction is estimated, and on the second stage, when the next parameter observations are received, the parameter values are corrected. In the proposed method and algorithm, predictions of traffic parameter values are made in a small sliding window, and adaptation is implemented based on pseudo-gradient procedures whose parameters are adjusted using the Takagi-Sugeno indistinct logic inference method. The proposed method and algorithm belong to the class of adaptive methods and algorithms with prior learning. The average relative error of the estimated traffic parameters estimation does not exceed 8.2%, which is a sufficient value for the implementation of operational network management tasks.

Algorithm for dynamic channel reservation of aggregated data flow

In modern telecommunications systems, dynamic reservation of channel resources for an aggregated data stream is one of the most important tasks, as it allows for efficient use of available resources and provides high-quality service to subscribers. Developing an algorithm for dynamic reservation is a challenging task, as it requires ensuring optimal resource allocation among subscribers during variable network load. This article discusses an approach to developing an algorithm for dynamic reservation of channel resources for an aggregated data stream that provides efficient resource allocation and ensures high-quality service to subscribers. Specifically, approaches to dynamic resource allocation based on network load and approximation and optimization methods that reduce algorithm complexity and ensure its effective operation will be considered. The results of this work can be useful for telecommunications system developers and for research in the field of telecommunications. The article proposes an algorithm for dynamic reservation of channel resources for an aggregated data stream. The implementation of this algorithm is performed on a VPN gateway designed to manage data streams, filter them, and organize priority access to data streams in the VPN tunnel. In the event of a network load, the developed algorithm should first evaluate the network status and, based on the results obtained, perform data stream access control functions, taking into account their priorities. Based on the developed algorithm for dynamic reservation of channel resources for an aggregated real-time data stream, this section establishes a system of criteria for efficient utilization of channel resources for protected corporate multiservice communication networks under conditions of network resource availability for servicing the proposed workload from the access network and network congestion. The approach to prioritizing data streams takes into account user categories and service classes, which, unlike existing tools, allows for the task of prioritized servicing under load conditions and determines the best use of the available channel resources at the transport layer of protected corporate multiservice communication networks.

Algorithm for Online Detection of Traffic Anomalies in High-Speed Enterprise Multiservice Communication Networks

Algorithm for Online Detection of Traffic Anomalies in High-Speed Enterprise Multiservice Communication Networks

Analysis of the reliability of the components of a multiservice communication network based on the theory of fuzzy sets

The article presents the results of modeling the solution to the problem of determining the reliability of the components of a multiservice communication network (MCN) based on the theory of fuzzy sets. The main characteristics of the equipment that affect the reliability parameters of the MCN are given. To solve the problem of determining the reliability of MCN components based on the theory of fuzzy sets, a multiservice network is presented in the form of a hierarchical diagram, which shows the main components of each network level. A multiservice network is presented as a parameter of the U function. The reliable state of the MCN depends on the state of the equipment at the corresponding levels. The results of modeling the solution to the problem of determining the reliability of MCN components based on the theory of fuzzy sets are presented using the mathematical apparatus of the theory of fuzzy sets and fuzzy logic in MATLAB fuzzy logic toolbox, fuzzyTECH.

An Adaptive Method for Assessing Traffic Characteristics in High-Speed Multiservice Communication Networks Based on a Fuzzy Control Procedure

An Adaptive Method for Assessing Traffic Characteristics in High-Speed Multiservice Communication Networks Based on a Fuzzy Control Procedure

TO THE QUESTION OF FORMING A PARTICULAR THREAT MODEL FOR MULTISERVICE COMMUNICATION NETWORKS

The article deals with the issues related to the prospective formation of particular threat models on the network of multiservice communication networks (MCN) resistant to external destructive influences (EDI). To form a threat model, the concept of synthesis of models of the life cycle of MCN networks, ITU-T recommendations of the X.800 series, in particular X.805 [1], an eight-level hyper MCN networks.

Методика экспресс-анализа устойчивости функционирования мультисервисной сети связи

Continuous improvement of the architecture of multi-service communication networks (MCN) is due to the need for networks with a capacity of tens of Tbit/s. Existing communication networks are multi-pole and, in this regard, the term "network bandwidth" loses its meaning. Based on this, the term "network performance" is used. Such performance requires the development of methods for complex analysis of network stability and organization of its functioning. Usually, the network stability is considered in two aspects: potential and structural. This article discusses the models of stability and functioning of IP networks with route parallelism, as well as the method of express analysis of their stability.

TECHNOLOGICAL MODEL AND SUSTAINABILITY ASSESSMENT METHODOLOGY OF THE MULTISERVICE COMMUNICATION NETWORK FUNCTIONING

The modern development of multiservice communication networks (MÑN) is characterized by the desire of operators to provide users with an unlimited range of services with guaranteed quality of service (QoS). QoS is determined by the stability of the network’s functioning, that is, its ability to function without errors. The existing routing algorithms in modern networks focus the main load on the most productive sections, while the rest of the network is used quite poorly. This is confirmed by the results of studies [1,2], in which the structure of modern global communication networks is assigned to the class of small-world graphs. Obviously, that the increased connectivity of such networks determines high indicators of its stability, but at the same time, this route redundancy is poorly used by existing routing protocols to provide QoS when transmitting different traffic (triple-play: audio, video, and data) [3, 4]. There is also no work devoted to the analysis of the possibilities of sharing different routes (route parallelism) for the implementation of QoS enhancement mechanisms in the MÑN. This article discusses the technological concept of a network with route parallelism in communication networks built on the basis of the IP protocol family.

АДАПТИВНЫЙ МЕТОД И АЛГОРИТМ ОПЕРАТИВНОГО ОЦЕНИВАНИЯ ПАРАМЕТРОВ ТРАФИКА В ВЫСОКОСКОРОСТНЫХ КОРПОРАТИВНЫХ МУЛЬТИСЕРВИСНЫХ СЕТЯХ СВЯЗИ

The article deals with an adaptive method developed and an algorithm that implements it for the rapid evaluation of traffic characteristics and parameters in high-speed corporate multiservice communication networks. This algorithm operates in real-time environment. High-speed corporate multiservice networks are characterized by high dynamics of changing their state, including changes in the characteristics of transmitted traffic. Under these conditions, the automated network management system should provide the required quality of communication services and services provided to users. Thus, the relevance of this study is determined by the need to implement network management processes in a mode close to real time, with a given quality in the conditions of dynamic priority of unknown changes in network characteristics. The basis of the proposed method is the concept of conditional non-linear Pareto - optimal filtering by V.S. Pugachev, which consists in the fact that traffic parameters are estimated in two stages. Firstly, the forecast of parameter values is estimated, and then their correction is made with the following observations of parameters. Traffic parameter forecasts are made in a small sliding window, and refinement of current traffic parameter estimates is implemented by pseudogradient procedures, the parameters of which are regulated by the method of fuzzy Takagi-Sugeno logical output. In this case, increments in pseudo-gradient procedures are calculated relative to the average value of previous estimates calculated in a small moving window as well. This method reduced the average relative error of estimating the intensity parameters of non-stationary network traffic by 1.4-1.9 times, and also reduced the size of the sliding window in which it is processed from 1.7 to 4.2 times.The proposed method and algorithm belong to the class of methods and algorithms which require a preliminary training. The average relative error in estimating traffic parameters does not exceed 7%, which is a sufficient value for the implementation of operational network management tasks.

CALCULATION OF THE EFFEC TION OF THE EFFECTIVENESS OF THE FUNC TIVENESS OF THE FUNCTIONING TIONING OF MULTISERVICE COMMUNICA VICE COMMUNICATION NE TION NETWORKS T WORKS TAKING IN AKING INTO ACCOUNT DROPPED P T DROPPED PACKETS

Background. The article discusses the formalization of performance indicators of a multiservice network management system based on the use of hybrid neural-fuzzy technology that combines the advantages of fuzzy logic and neural networks. A developed fuzzy neural model was subsequently used to make a decision about the transfer of real time streams through the channel of the multi-servo network. Methods for assessing the effectiveness of multiservice communication networks can be conditionally divided into three large groups: technical, economic and technical and economic. As the technical characteristics of the efficiency of the computer network, various indicators of network performance and reliability are used. Estimates of the costs of designing, installing and maintaining the network are used as economic characteristics. Technical and economic indicators are used for a comprehensive assessment of the project, and include various combinations of technical and economic characteristics. The response time is an integral performance characteristic, the most important for the network subscriber.