A survey on stateful data plane in software defined networks

X Zhang, L Cui, K Wei, FP Tso, Y Ji, W Jia - Computer Networks, 2021 - Elsevier
Abstract Software Defined Networking (SDN), which decouples control plane and data
plane, normally stores states on controllers to provide flexible programmability and …

Flow-aware elephant flow detection for software-defined networks

M Hamdan, B Mohammed, U Humayun… - IEEE …, 2020 - ieeexplore.ieee.org
Software-defined networking (SDN) separates the network control plane from the packet
forwarding plane, which provides comprehensive network-state visibility for better network …

Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey

LX Liao, HC Chao, MY Chen - Journal of Parallel and Distributed …, 2020 - Elsevier
Elephant flows (elephants) refer to the sequences of packets that contribute only 10% of the
total volume but consume over 90% of the network bandwidth. They often cause network …

pHeavy: Predicting Heavy Flows in the Programmable Data Plane

X Zhang, L Cui, FP Tso, W Jia - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Since heavy flows account for a significant fraction of network traffic, being able to predict
heavy flows has benefited many network management applications for mitigating link …

A survey on autonomic provisioning and management of QoS in SDN networks

A Binsahaq, TR Sheltami, K Salah - IEEE Access, 2019 - ieeexplore.ieee.org
In today's Internet, killer network services and applications, such as video and audio
streaming, network storage, and online video games, are pushing the network infrastructure …

Elephant flow detection intelligence for software-defined networks: a survey on current techniques and future direction

M Hamdan, H Elshafie, S Salih, S Abdelsalam… - Evolutionary …, 2024 - Springer
Software-defined networking (SDN) is characterized by the separation of the packet
forwarding plane from the network control plane. This separation offers an extensive view of …

Towards threshold‐agnostic heavy‐hitter classification

A Pekar, A Duque‐Torres, WKG Seah… - … Journal of Network …, 2022 - Wiley Online Library
A heavy‐hitter (HH) network traffic flow consumes considerably more network resources
than other flows combined. The classification of HHs is critical to provide, among others, the …

Asynchronous federated learning for elephant flow detection in software defined networking systems

X Ma, LX Liao, Z Li, HC Chao - Journal of Physics: Conference …, 2022 - iopscience.iop.org
This paper introduces an Asynchronous Federated Learning (AFL) approach to train an
elephant flow model over Software Defined Networking (SDN) systems with distributed …

Enabling inference inside software switches

YS Lu, KCJ Lin - 2019 20th Asia-Pacific Network Operations …, 2019 - ieeexplore.ieee.org
Software Defined Networking (SDN) has been emerged to solve the problem of traditional
network architectures. The ability of programmable switches renders us an opportunity to …

Regression based dynamic elephant flow detection in airborne network

P Liu, N Lv, K Chen, L Tang, J Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
As an important part of the spatial information network, airborne network (AN), which
connects air platforms with upper satellites and ground devices, has been increasingly …