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Adaptable and data-driven softwarized networks: Review, opportunities, and challenges
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 …
sustain their critical services in the future, communication networks need to flexibly …
Flexibility in softwarized networks: Classifications and research challenges
The increase of flexibility is a common objective of softwarized networks based on concepts,
such as software defined networking, network function virtualization, and network …
such as software defined networking, network function virtualization, and network …
User-oriented virtual mobile network resource management for vehicle communications
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 …
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
Software-defined networking (SDN) is a novel network paradigm that enables flexible
management for networks. However, with the increase in network capacity, a single …
management for networks. However, with the increase in network capacity, a single …
A survey on data plane flexibility and programmability in software-defined networking
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 …
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 …
networks. The use of optimization methods by machine learning means is especially …
FAST: Flexible and low-latency state transfer in mobile edge computing
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 …
networking, and storage resources, close to end users, thus reducing end-to-end latency …
Empowering self-driving networks
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 …
question arises of how to exploit these flexibilities for optimization. Given the complexity of …
P4NFV: An NFV architecture with flexible data plane reconfiguration
Current architecture proposals for Network Function Virtualization (NFV) do not integrate
hardware-accelerated network function implementations. Recent research studies have …
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 …
technology in intelligent transportation systems. The vehicle accesses the IoV network …