The Emerging Role of Integrating Artificial Intelligence (Ai) in the Software Defined Network for Effective Traffic Prediction using Correlation Analysis-Reference-Cited by-同舟云学术

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The Emerging Role of Integrating Artificial Intelligence (Ai) in the Software Defined Network for Effective Traffic Prediction using Correlation Analysis

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Sridharan Abel¹,Othman Bestoon Abdulmaged²,Shukla Surendra Kumar³,Tripathi Amrendra⁴^ORCID,Pandey Anand⁵^ORCID,Tongkachok Korakod⁶^ORCID

Affiliation:

1. Computer Science, University of Madras

2. Business Administration, Koya Technical Institute, Erbil Polytechnic University,Erbil,Iraq

3. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India

4. School of computer science, UPES,Dehradun

5. Information Technology, SRM IST, NCR Campus

6. Thaksin University,Faculty of Law,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823926.pdf?arnumber=9823926

Reference12 articles.

1. SDN-Mon: Fine-Grained Traffic Monitoring Framework in Software-Defined Networks

2. A learning-based measurement framework for traffic matrix inference in software defined networks Comput;malboubi;Electr Eng,2018

3. Overhead reduction scheme for SDN-based Data Center Networks;akbarpranata;Computer Standards & Interfaces,2019

4. Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs

5. Traffic engineering in software-defined networking: Measurement and management

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