Online flow size prediction for improved network routing

P Poupart, Z Chen, P Jaini, F Fung… - 2016 IEEE 24th …, 2016 - ieeexplore.ieee.org
We describe an emerging application of data mining in the context of computer networks.
This application concerns the problem of predicting the size of a flow and detecting elephant …

Traffic classification in IP networks through Machine Learning techniques in final systems

J Gómez, VH Riaño, G Ramirez-Gonzalez - IEEE Access, 2023 - ieeexplore.ieee.org
Data centers in higher education institutions, as well as those of large corporations, face
challenges in terms of traffic flow management. In some cases, due to the limited hardware …

Fine-grained flow classification using deep learning for software defined data center networks

WX Liu, J Cai, Y Wang, QC Chen, JQ Zeng - Journal of Network and …, 2020 - Elsevier
Abstract in a data center network, accurately classifying flow is the key to optimal schedule
flow. However, the existing classification methods cannot meet the demand of real networks …

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 …

Effective media traffic classification using deep learning

Q Lyu, X Lu - Proceedings of the 2019 3rd International Conference …, 2019 - dl.acm.org
Traffic classification (TC) is very important as it can provide useful information which can be
used in the flexible management of the network. However, TC has become more and more …

Towards efficient load distribution in big data cloud

Z Liu, X Wang, W Pan, B Yang, X Hu… - 2015 International …, 2015 - ieeexplore.ieee.org
Traffic spikes in big data cloud have led to great challenges for middlebox management in
the behind datacenter networks, especially for load distribution among varieties of …

A formal requirements engineering method for specification, synthesis, and verification

M von der Beeck, T Margaria… - … 8th Conference on …, 1997 - ieeexplore.ieee.org
This paper presents a formal requirements engineering method capturing specification,
synthesis, and verification. Being multi-paradigm, our approach integrates individual …

Cognitive prediction of end-to-end bandwidth utilisation in a non-QoS video conference

S Misra, S Goswami - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
The most sought after bandwidth killer application on networks has been video conference.
For a complex network, specifically based within an organization, implementing quality of …

比特流协议分类模型

刘渊, 周洪川, 张俊娇, 张凤荔 - 计算机工程与设计, 2016 - cqvip.com
针对比特流协议分类困难的问题, 提出一种比特流协议分类模型, 该模型只利用比特流的物理取
值和统计特性, 不考虑协议中各个部分的语法, 语义等信息来进行协议的分类 …

[引用][C] E ective Media Tra ic Classification Using Deep Learning

Q Lyu, X Lu - 2019