Intelligent traffic management in next-generation networks
The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
Machine learning and deep learning based traffic classification and prediction in software defined networking
AŞR Mohammed, SA Mohammed… - … on Measurements & …, 2019 - ieeexplore.ieee.org
The Internet is constantly growing in size and becoming more complex. The field of
networking is thus continuously progressing to cope with this monumental growth of network …
networking is thus continuously progressing to cope with this monumental growth of network …
Network traffic classification using machine learning for software defined networks
M Perera Jayasuriya Kuranage, K Piamrat… - Machine Learning for …, 2020 - Springer
The recent development in industry automation and connected devices made a huge
demand for network resources. Traditional networks are becoming less effective to handle …
demand for network resources. Traditional networks are becoming less effective to handle …
[图书][B] Developing networks using artificial intelligence
With the software-defined networking (SDN), network function virtualization (NFV), and fifth-
generation wireless systems (5G) development, the global network is undergoing profound …
generation wireless systems (5G) development, the global network is undergoing profound …
Traffic data classification using machine learning algorithms in SDN networks
As an efficient approach to proactively monitoring network dynamics, automatically
analyzing network data, and predicting network usage, machine learning has been widely …
analyzing network data, and predicting network usage, machine learning has been widely …
Intelligent SDN traffic classification using deep learning: Deep-SDN
Accurate traffic classification is fundamentally important for various network activities such as
fine-grained network management and resource utilisation. Port-based approaches, deep …
fine-grained network management and resource utilisation. Port-based approaches, deep …
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
[PDF][PDF] Machine Learning-Based Traffic Classification in Software-Defined Networking: A Systematic Literature Review, Challenges, and Future Research Directions.
The growing diversification of Internet applications and the continuous evolution of network
infrastructure with emerging technologies have complicated network management. Network …
infrastructure with emerging technologies have complicated network management. Network …
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …