An intelligent method for reducing the overhead of analysing big data flows in Openflow switch-Reference-Cited by-同舟云学术

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An intelligent method for reducing the overhead of analysing big data flows in Openflow switch

Published:2022-01-21 Issue:5 Volume:16 Page:548-559
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Abbasi Mahdi¹,Maleki Shima¹,Jeon Gwanggil²,Khosravi Mohammad R.³,Abdoli Hatam¹

Affiliation:

1. Department of Computer Engineering Faculty of Engineering Bu‐Ali Sina University Hamedan Iran

2. Department of Embedded Systems Engineering College of Information Technology Incheon National University Yeonsu‐gu Incheon Korea

3. Computer Engineering Department Persian Gulf University Bushehr Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12328

Reference39 articles.

1. Dinh P.T. Park M.:BDF‐SDN: A big data framework for DDOS attack detection in large‐scale SDN‐based cloud. In: 2021 IEEE Conference on Dependable and Secure Computing (DSC) Fukushima Japan(2021)

2. Big data and its V's with IoT to develop sustainability;Chu X.;Sci. Program.,2021

3. Efficient Flow Processing in 5G-Envisioned SDN-Based Internet of Vehicles Using GPUs

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1. High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments;Tsinghua Science and Technology;2024-08

2. Adaptive Flow Timeout Management in Software-Defined Optical Networks;Photonics;2024-06-26

3. Optimizing the performance of OpenFlow Protocol over QUIC;Journal of Network and Computer Applications;2024-06

4. An OpenFlow-Based Approach to Cloud Architecture for Detecting Network Security Events;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

5. Toward Software-Defined Networking-Based IoT Frameworks: A Systematic Literature Review, Taxonomy, Open Challenges and Prospects;IEEE Access;2022

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