The traffic flow model was one of the most important investigation topic for any networks
during them evolution. The traffic flow model understanding was changes from network to …

Постановка проблемы: при развертывании систем Интернета вещей необходимо
выбирать режим информационного взаимодействия сенсорных устройств с сервером …

In practice it is important to evaluate the impact of clusters of extreme observations caused
by the dependence in time series. The clusters contain consecutive exceedances of time …

The paper presents the results of the traffic investigation on the home networks for
BitTorrent, Skype and M2M services. The traffic features are investigated on the test beds …

This paper addresses the issue of effective classification of video traffic with the view of QoS
guarantee, and presents a modified K-Singular Value Decomposition (K-SVD) classification …

Dealing with the quality of the packet transport of multimedia services in overlay networks,
we present the relation between the packet missing probability Pm of transmitted packets of …

Предмет исследования. Предложены модели, позволяющие продлить жизненный цикл
сети Интернета вещей в результате кластеризации сенсорного поля и передачи …

Data augmentation is a common method for expanding datasets to train machine learning
models. In this paper, five different methods are used to obtain augmented sets. In addition …

We consider the underlying network characteristics of an IPTV trace. The pairwise
dependence in a triple (X, Y, R) denoting the inter-arrival time between packets, the packet …

该文基于网络多媒体业务QoS (Quality of Service) 特征特点, 提出网络业务QoS 类识别算法.
探索了新的多媒体业务QoS 类划分模式, 在QoS 分类的基础上, 可以通过将具有相同或相似QoS …