A Method for Recognizing the Level of Service Quality by Network Routes of Packet Traffic in the Conditions of Implicit Surveillance

The purpose of the research is to develop a method for recognizing the class (level) of quality of service in network routes under conditions of rapid changes in packet traffic and implicit (partial) monitoring of the level of quality of service in the links of the packet communication network.

Methods. In order to timely assess the level of service quality and reduce the load of network routes with test traffic, it is proposed to monitor the level of service quality only in part of the links of the packet communication network, the network route based on software and hardware sensors using ICMP echo requests, IP SLA trackers, TWAMP, etc. To recognize the quality of service in probable network routes at the stage of preparing initial data: important links from the network routes are determined based on the coefficients of paired correlation calculated using statistics between the values of the same quality indicators for different links and network routes, expert judgments about the weight of each service quality indicator; the packet traffic of the corporate network is divided into classes with different levels of service quality in the space of QoS quality indicators; fuzzy models are constructed for different classes (levels) of service quality for probable network routes and network links, based on expert judgments and the method of analyzing hierarchies, the functions of belonging gradations of features (models of the level of service quality in important network links, values of service quality indicators in network links) to the described (modeled) object. Within the framework of the developed method, models of service quality classes in important network links are consistently recognized based on the observed values of service quality indicators in the network links, and then models of the service quality class in the network route are recognized based on the recognized models of the service quality level in important network links.

Results. As part of the research experiment, the recognition of the level of service quality in the network route was performed in hypothetical situations under the conditions of accepted restrictions on changing the values of the observed indicators of service quality in the network links. At the same time, as a basis for constructing fuzzy models of different classes of service quality and for simulating the observed values of service quality indicators in the network links, the authors used statistical models based on theoretical calculation and known statistics for conditions close to the experiment. The expediency of using the developed method for recognizing the level of service quality in a network route under conditions of partial monitoring and changes in packet traffic under the conditions of accepted restrictions is proved.

Conclusion. The application of the proposed method for recognizing the level of service quality by packet traffic network routes in conditions of partial monitoring will increase the efficiency and reliability of monitoring the quality of service in network routes, reduce the load of transmission lines in autonomous packet communication networks, large corporate networks.

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