AI-driven packet forwarding with programmable data plane: A survey

W Quan, Z Xu, M Liu, N Cheng, G Liu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The existing packet forwarding technology cannot meet the increasing requirements of
Internet development due to its rigid framework. Application of artificial intelligence (AI) for …

Next-generation data center network enabled by machine learning: Review, challenges, and opportunities

H Dong, A Munir, H Tout, Y Ganjali - IEEE Access, 2021 - ieeexplore.ieee.org
Data center network (DCN) is the backbone of many emerging applications from smart
connected homes to smart traffic control and is continuously evolving to meet the diverse …

Rethinking data center networks: Machine learning enables network intelligence

B Li, T Wang, P Yang, M Chen… - … of Communications and …, 2022 - ieeexplore.ieee.org
To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …

Machine learning empowered intelligent data center networking: A survey

B Li, T Wang, P Yang, M Chen, S Yu… - arXiv preprint arXiv …, 2022 - arxiv.org
To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …

DDPG based dynamic scheduling optimization mechanism in real switch

X Wang, X Wang, J Jia, X Lu… - 2023 15th International …, 2023 - ieeexplore.ieee.org
Nowadays, more and more traffic with different service requirements is transmitted
simultaneously in the network, resulting in network congestion. In order to improve network …

A deep learning based traffic flow classification with just a few packets

A Gupta, HP Gupta, T Dutta - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
Recently, traffic flow classification has received unprecedented attention due to the
introduction of a variety of network applications. Classification plays a crucial role in cyber …

Machine learning empowered intelligent data center networking

T Wang, B Li, M Chen, S Yu - Machine Learning Empowered Intelligent …, 2022 - Springer
Abstract Machine learning has been widely studied and practiced in data center networks,
and a large number of achievements have been made. In this chapter, we will review …

Towards identifying internet applications using early classification of traffic flow

A Gupta, HP Gupta, T Dutta - 2021 IFIP Networking Conference …, 2021 - ieeexplore.ieee.org
Network traffic classification has been an interesting topic of research for many years. It
plays a crucial role in many network applications including resource allocation, intrusion …

A Scheduling optimization Mechanism Combining Q-learning and Genetic Algorithm

X Wang, X Wang, J Jia, X Lu… - 2023 19th International …, 2023 - ieeexplore.ieee.org
In recent years, the number of network applications is constantly increasing, and network
congestion often occurs. To ensure the network Quality of Service (QoS), different types of …

[PDF][PDF] DATA AND COMPUTER CENTER PREDICTION OF USAGE AND COST

GF MATEUS - 2023 - run.unl.pt
In recent years, Cloud computing usage has considerably increased and, nowadays, it is the
backbone of many emerging applications. However, behind cloud structures, we have …