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Load Balancing in DCN Servers Through Software Defined Network Machine Learning

Load Balancing in DCN Servers Through Software Defined Network Machine Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2992549452

Load Balancing in DCN Servers Through Software Defined Network Machine Learning

About this item

Full title

Load Balancing in DCN Servers Through Software Defined Network Machine Learning

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

Journal title

International journal of advanced computer science & applications, 2024, Vol.15 (2)

Language

English

Formats

Publication information

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

More information

Scope and Contents

Contents

In this research paper, we delve into the innovative realm of optimizing load balancing in Data Center Networks (DCNs) by leveraging the capabilities of Software-Defined Networking (SDN) and machine learning algorithms. Traditional DCN architectures face significant challenges in handling unpredictable traffic patterns, leading to bottlenecks, netw...

Alternative Titles

Full title

Load Balancing in DCN Servers Through Software Defined Network Machine Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2992549452

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2992549452

Other Identifiers

ISSN

2158-107X

E-ISSN

2156-5570

DOI

10.14569/IJACSA.2024.0150254

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