Adaptable and data-driven softwarized networks: Review, opportunities, and challenges

W Kellerer, P Kalmbach, A Blenk, A Basta… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Communication networks are the key enabling technology for our digital society. In order to
sustain their critical services in the future, communication networks need to flexibly …

Flexibility in softwarized networks: Classifications and research challenges

M He, AM Alba, A Basta, A Blenk… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
The increase of flexibility is a common objective of softwarized networks based on concepts,
such as software defined networking, network function virtualization, and network …

User-oriented virtual mobile network resource management for vehicle communications

H Lu, Y Zhang, Y Li, C Jiang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Currently, advanced communications and networks greatly enhance user experiences and
have a major impact on all aspects of people's lifestyles in terms of work, society, and the …

[HTML][HTML] Chaotic salp swarm algorithm for SDN multi-controller networks

AA Ateya, A Muthanna, A Vybornova, AD Algarni… - … Science and Technology …, 2019 - Elsevier
Software-defined networking (SDN) is a novel network paradigm that enables flexible
management for networks. However, with the increase in network capacity, a single …

A survey on data plane flexibility and programmability in software-defined networking

E Kaljic, A Maric, P Njemcevic, M Hadzialic - IEEE Access, 2019 - ieeexplore.ieee.org
Software-defined networking (SDN) has attracted the attention of the research community in
recent years, as evidenced by a large number of survey and review papers. The architecture …

Optimization of Machine Learning Method to Improve the Management Efficiency of Heterogeneous Telecommunication Network

V Zhebka, M Gertsiuk, V Sokolov… - … in Information and …, 2022 - elibrary.kubg.edu.ua
This paper presents some optimization method aspects use in telecommunications
networks. The use of optimization methods by machine learning means is especially …

FAST: Flexible and low-latency state transfer in mobile edge computing

TV Doan, GT Nguyen, M Reisslein, FHP Fitzek - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation,
networking, and storage resources, close to end users, thus reducing end-to-end latency …

Empowering self-driving networks

P Kalmbach, J Zerwas, P Babarczi, A Blenk… - Proceedings of the …, 2018 - dl.acm.org
As emerging network technologies and softwareization render networks more flexible, the
question arises of how to exploit these flexibilities for optimization. Given the complexity of …

P4NFV: An NFV architecture with flexible data plane reconfiguration

M He, A Basta, A Blenk, N Deric… - 2018 14th International …, 2018 - ieeexplore.ieee.org
Current architecture proposals for Network Function Virtualization (NFV) do not integrate
hardware-accelerated network function implementations. Recent research studies have …

An EMD and ARMA-based network traffic prediction approach in SDN-based internet of vehicles

M Tian, C Sun, S Wu - Wireless Networks, 2021 - Springer
Abstract The Internet of Vehicles (IoV) is the application of the Internet of things (IoT)
technology in intelligent transportation systems. The vehicle accesses the IoV network …