Machine learning-based elephant flow classification on the first packet
In this paper, we explore the applicability of selected machine learning models to classify
incoming flows as elephants or mice on the first packet, using Internet Protocol (IP) and …
incoming flows as elephants or mice on the first packet, using Internet Protocol (IP) and …
Elephant Flow Detection with Random Forest Models under Programmable Network Dataplane Constraints
This paper investigates the application of tree-based machine learning classifiers for flow-
based traffic engineering, focusing on the binary classification of IP network flows into mice …
based traffic engineering, focusing on the binary classification of IP network flows into mice …
Elephant Flow Classification on the First Packet with Neural Networks
Quick and accurate identification of the largest flows in the network would allow for the
management of most traffic using dedicated, flow-specific routes and policies, thereby …
management of most traffic using dedicated, flow-specific routes and policies, thereby …
A framework for elephant flow detection for SDNS based on the classification
Recently, there has been considerable interest in the classification of flows among existing
applications in SDN, such as traffic engineering, service quality, and network management …
applications in SDN, such as traffic engineering, service quality, and network management …
An optimized handover management scheme tailored for heavy hitters in a disaggregated 5g o-ran architecture
F Gjeci, I Filippini, A Capone - 2024 IFIP Networking …, 2024 - ieeexplore.ieee.org
In this paper we propose a tailored handover scheme for Heavy Hitters (HHs) in Next
Generation Self-Organizing Network (NG SON). The conventional handover scheme takes …
Generation Self-Organizing Network (NG SON). The conventional handover scheme takes …
Sample Weighting Methods for Compensating Class Imbalance in Elephant Flow Classification
P Jurkiewicz, R Wójcik, J Domżał - IEEE Access, 2024 - ieeexplore.ieee.org
Accurately identifying and classifying elephant flows is crucial in many network traffic
management applications. However, the inherent class imbalance between elephant and …
management applications. However, the inherent class imbalance between elephant and …
Utilizing TabNet Deep Learning for Elephant Flow Detection by Analyzing Information in First Packet Headers
Rapid and precise detection of significant data streams within a network is crucial for
efficient traffic management. This study leverages the TabNet deep learning architecture to …
efficient traffic management. This study leverages the TabNet deep learning architecture to …
Efficient Routing by Detecting Elephant Flows with Deep Learning Method in SDN.
Nowadays, the increase in the number of devices using local and global networks has made
it very challenging to manage network traffic, especially during epidemics and natural …
it very challenging to manage network traffic, especially during epidemics and natural …