A survey on machine learning techniques for routing optimization in SDN

R Amin, E Rojas, A Aqdus, S Ramzan… - IEEE …, 2021 - ieeexplore.ieee.org
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …

Leveraging deep reinforcement learning for traffic engineering: A survey

Y **ao, J Liu, J Wu, N Ansari - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …

Energy efficiency in cloud computing data center: a survey on hardware technologies

A Katal, S Dahiya, T Choudhury - Cluster Computing, 2022 - Springer
The internet is expanding its viewpoint into each conceivable part of the cutting-edge
economy. Unshackled from our web programs today, the internet is characterizing our way …

Traffic engineering in software-defined networking: Measurement and management

Z Shu, J Wan, J Lin, S Wang, D Li, S Rho… - IEEE access, 2016 - ieeexplore.ieee.org
As the next generation network architecture, software-defined networking (SDN) has exciting
application prospects. Its core idea is to separate the forwarding layer and control layer of …

Zero-touch networks: Towards next-generation network automation

M El Rajab, L Yang, A Shami - Computer Networks, 2024 - Elsevier
The Zero-touch network and Service Management (ZSM) framework represents an
emerging paradigm in the management of the fifth-generation (5G) and Beyond (5G+) …

{Semi-oblivious} traffic engineering: The road not taken

P Kumar, Y Yuan, C Yu, N Foster, R Kleinberg… - … USENIX Symposium on …, 2018 - usenix.org
Networks are expected to provide reliable performance under a wide range of operating
conditions, but existing traffic engineering (TE) solutions optimize for performance or …

Optimized traffic engineering in Software Defined Wireless Network based IoT (SDWN-IoT): State-of-the-art, research opportunities and challenges

R Kumar, U Venkanna, V Tiwari - Computer Science Review, 2023 - Elsevier
Wireless networks have been in focus since the last few decades due to their indispensable
role in the future generation networks like the Internet of Things (IoT). However, the …

A {High-Speed}{Load-Balancer} Design with Guaranteed {Per-Connection-Consistency}

T Barbette, C Tang, H Yao, D Kostić… - … USENIX Symposium on …, 2020 - usenix.org
Large service providers use load balancers to dispatch millions of incoming connections per
second towards thousands of servers. There are two basic yet critical requirements for a …

Deep Q-learning for routing schemes in SDN-based data center networks

Q Fu, E Sun, K Meng, M Li, Y Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
In order to adapt to the rapid development of cloud computing, big data, and other
technologies, the combination of data center networks and SDN is proposed to make …

QR-SDN: Towards reinforcement learning states, actions, and rewards for direct flow routing in software-defined networks

J Rischke, P Sossalla, H Salah, FHP Fitzek… - IEEE …, 2020 - ieeexplore.ieee.org
Flow routing can achieve fine-grained network performance optimizations by routing distinct
packet traffic flows over different network paths. While the centralized control of Software …