[HTML][HTML] Machine-Learning-Based Traffic Classification in Software-Defined Networks
Many research efforts have gone into upgrading antiquated communication network
infrastructures with better ones to support contemporary services and applications. Smart …
infrastructures with better ones to support contemporary services and applications. Smart …
Machine learning techniques for traffic identification and classifiacation in SDWSN: A survey
Software defined network (SDN) is a paradigm developed achieve great flexibility and cope
with the limitations of traditional networks architecture such as the wireless sensor networks …
with the limitations of traditional networks architecture such as the wireless sensor networks …
[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 …
[PDF][PDF] Network traffic classification using machine learning for software defined networks
P Menuka, K Piamrat, S Hamma - IFIP International Conference on …, 2019 - hal.science
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 …
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 …
Traffic Classification and Comparative Analysis with Machine Learning Algorithms in Software Defined Networks
In computer networks, diverse applications generate network traffic with different
characteristics. Network traffic classification is significant to manage networks better …
characteristics. Network traffic classification is significant to manage networks better …
[HTML][HTML] A novel traffic classification approach by employing deep learning on software-defined networking
The ever-increasing diversity of Internet applications and the rapid evolution of network
infrastructure due to emerging technologies have made network management more …
infrastructure due to emerging technologies have made network management more …
[PDF][PDF] Architecting a machine learning pipeline for online traffic classification in software defined networking using spark
Precise traffic classification is essential to numerous network functionalities such as routing,
network management, and resource allocation. Traditional classification techniques became …
network management, and resource allocation. Traditional classification techniques became …
Towards efficient and scalable machine learning-based QoS traffic classification in software-defined network
MZF Audah, TS Chin, Y Zulfadzli, CK Lee… - Mobile Web and …, 2019 - Springer
Abstract Internet Service Provider (ISP) has the responsibility to fulfill the Quality of Service
(QoS) of various types of applications. The centralized network controller in Software …
(QoS) of various types of applications. The centralized network controller in Software …
Data traffic classification in software defined networks (SDN) using supervised-learning
Traffic classification with accuracy is of prime importance in network activities such as
security monitoring, traffic engineering, fault detection, accounting of network usage, billing …
security monitoring, traffic engineering, fault detection, accounting of network usage, billing …