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A survey on machine learning techniques for routing optimization in SDN
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 …
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
Leveraging deep reinforcement learning for traffic engineering: A survey
After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
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
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 …
economy. Unshackled from our web programs today, the internet is characterizing our way …
Traffic engineering in software-defined networking: Measurement and management
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 …
application prospects. Its core idea is to separate the forwarding layer and control layer of …
Zero-touch networks: Towards next-generation network automation
The Zero-touch network and Service Management (ZSM) framework represents an
emerging paradigm in the management of the fifth-generation (5G) and Beyond (5G+) …
emerging paradigm in the management of the fifth-generation (5G) and Beyond (5G+) …
{Semi-oblivious} traffic engineering: The road not taken
Networks are expected to provide reliable performance under a wide range of operating
conditions, but existing traffic engineering (TE) solutions optimize for performance or …
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
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 …
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}
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 …
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 …
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
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 …
packet traffic flows over different network paths. While the centralized control of Software …