Preliminary Study of Software Defined Network on COVID-19 Pandemic Use Cases

7 Pages Posted: 28 May 2020

See all articles by Shailesh Bendale

Shailesh Bendale

Savitribai Phule Pune University (SPPU)

Jayashree Prasad

Sinhgad College of Engineering, Vadgaon, Pune.

Date Written: May 28, 2020

Abstract

The current COVID-19 pandemic had a big impact on the internet usage. Many big IT infrastructure providing giants have to perform the migration of the networking infrastructure for "work from home" scheme. The new challenging use cases where the provisioning of solutions such as switching to open-source platforms from proprietary devices requires attention. The maximum usage of a VPN for teleconferencing and “work from home” scheme caused a huge surge on the internet. This situation forced all the IT infrastructure providers to switch towards Software-Defined Network (SDN), Hybrid Software-Defined Network (HSDN), and Software-Defined Wide-Area Networks (SD-WAN). This paper focuses on the new areas and use cases generated due to the COVID-19 pandemic crisis.

Keywords: Artificial Intelligence, Software Defined Network, Security, Machine Learning, Deep Learning, COVID-19, Pandemic

Suggested Citation

Bendale, Shailesh and Prasad, Jayashree Rajesh, Preliminary Study of Software Defined Network on COVID-19 Pandemic Use Cases (May 28, 2020). Available at SSRN: https://ssrn.com/abstract=3612815 or http://dx.doi.org/10.2139/ssrn.3612815

Shailesh Bendale (Contact Author)

Savitribai Phule Pune University (SPPU) ( email )

Ganeshkhind
Ganeshkhind
Pune, Maharashtra 411007
India

Jayashree Rajesh Prasad

Sinhgad College of Engineering, Vadgaon, Pune. ( email )

Survey No 44/1, Vadgaon, Pune.
Pune., MA Maharashtra 411051
India
02024100000 (Phone)
411051 (Fax)

HOME PAGE: http://www.sinhgad.edu

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