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Thesis topic proposal
 
Zoltán Gál
Software Defined Network and Network Functions Visualization with Neural Network based AI

THESIS TOPIC PROPOSAL

Institute: University of Debrecen
computer sciences
Doctoral School of Informatics

Thesis supervisor: Zoltán Gál
Location of studies (in Hungarian): Debreceni Egyetem Informatikai Tudományok Doktori Iskola
Abbreviation of location of studies: ITDI


Description of the research topic:

Software Defined Networks (SDN) provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and Internet service provider technology approaches new solutions are required to develop or refine enhanced IoT dedicates functions like storage I/O hardware, software, and services skills. SDN provides the foundational building blocks to improve serval areas including applications, clouds, and more. Network Function Virtualization (NFV) provides an architectural, vendor-neutral level overview of the issues surrounding the large levels of data storage and transmission requirements needed for today's communication service providers. The relevancy of NFV is effectively the usage possibility to create and deploy new communication services based on neural network and Artificial Intelligence with high efficiency. Scientific research work needs to determine if network function virtualization is right for their enterprise network, be able to use hands-on, step-by-step guides to design, deploy, and manage NFV in an enterprise, and learn how to evaluate all relevant NFV standards, including ETSI, IETF, Openstack, Open Daylight and other international organisations.


Bibliography
[1] Greg Schulz: Software-Defined Data Infrastructure Essentials: Cloud, Converged, and Virtual Fundamental Server Storage I/O Tradecraft 1st Edition, Auerbach Publications; 1 edition (June 14, 2017).
[2] Eric Chou: Mastering Python Networking: Your one stop solution to using Python for network automation, DevOps, and SDN Paperback (June 28, 2017).
[3] Jim Doherty: SDN and NFV Simplified: A Visual Guide to Understanding Software Defined Networks and Network Function Virtualization 1st Edition, Addison-Wesley Professional; 1 edition (March 12, 2016).
[4] Rajendra Chayapathi, Syed F. Hassan, Paresh Shah: Network Functions Virtualization (NFV) with a Touch of SDN, Addison-Wesley Professional; 1st Edition (November 14, 2016).


Deadline for application: 2021-11-15


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )