Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning

A Knapińska, P Lechowicz, W Węgier… - Applied Soft Computing, 2022 - Elsevier
With the development of networking technologies, global Internet traffic is constantly
increasing. Moreover, various traffic types associated with a variety of network services and …

Machine-learning based prediction of multiple types of network traffic

A Knapińska, P Lechowicz, K Walkowiak - International Conference on …, 2021 - Springer
Prior knowledge regarding approximated future traffic requirements allows adjusting
suitable network parameters to improve the network's performance. To this end, various …

Self-organizing network topology for autonomous IoT systems

A Sverdlova, A Zaporozhets, I Bohachev… - Ceur workshop …, 2021 - papers.ssrn.com
The concept of the Internet of Things is increasingly defining the development of
communication networks both now and in the future. The largest application of the IoT …

Dynamic routing protocols for wireless touch networks: a review

AD Sverdlova, AO Zaporozhets, IV Bohachev… - Journal of Edge …, 2022 - acnsci.org
Wireless Touch Networks (WTN) have become increasingly important with the emergence of
the Internet of Things (IoT) and are regarded as a class of self-organizing networks. This …

[PDF][PDF] MACHINE LEARNING BASED NETWORK TRAFFIC PREDICTIVE ANALYSIS

VS Kumar, CH Vennela, G Alekhya, N Likitha… - ijgst.com
If you know roughly how much traffic your network will need in the future, you may fine-tune
the network's settings to optimize its performance. In order to achieve this goal, several …

Integrated Measurement and Analysis of P2P Streaming Traffic by the Java Tool Atheris

P Eittenberger, UR Krieger, A Biernacki… - 2010 IEEE Tenth …, 2010 - ieeexplore.ieee.org
Currently, the rapid development of new multimedia services including VoIP, video
streaming and video on demand as well as IPTV and the integration of triple play into the …