Title

Modeling and Analysis of Software-Defined Networks using Graph Theory

Presenter Information

Tristan Shatto

Department

Electrical and Computer Engineering

Major

Computer Engineering and Electrical Engineering

Research Advisor

Çetinkaya, Egemen K.

Advisor's Department

Electrical and Computer Engineering

Funding Source

Electrical & Computer Engineering Department

Abstract

To explore the real-world applications of graph-theoretic modeling and analysis on infrastructure networks, we can use software defined networks (SDNs) as a test bed for resilient networks and new analysis techniques. Using L1 and L3 data from large internet backbone networks, we have developed new techniques for measuring the resilience and reliability of these critical networks. To test these new techniques in real-world scenarios, we can use SDNs to dynamically create and operate networks with realistic loads, connection bandwidth, and variable size. To further explore the applications of SDNs, we will investigate the deployment of “smart” networks that utilize graph-theoretic metrics to construct resilient network structures, such as those for social networks and media streaming services. By scraping data from social sites, such as Twitter, we can construct real-world scenarios to test on our SDNs and develop techniques for improving the resilience of such networks against abnormal loads and network outages.

Biography

Tristan Shatto is a senior that is dual majoring in Computer Engineering and Electrical Engineering at Missouri S&T. Originally from the Kansas City area, he has been studying the graph-theoretic analysis of complex networks as a research assistant under Dr. Egemen Çetinkaya for the past 3 years. Tristan is a member of IEEE with several published conference papers, and wishes to pursue a career in the aerospace and defense industry after graduation.

Presentation Type

OURE Fellows Proposal Oral Applicant

Document Type

Presentation

Location

Turner Room

Presentation Date

17 Apr 2018, 2:40 pm - 3:00 pm

This document is currently not available here.

Share

COinS
 
Apr 17th, 2:40 PM Apr 17th, 3:00 PM

Modeling and Analysis of Software-Defined Networks using Graph Theory

Turner Room

To explore the real-world applications of graph-theoretic modeling and analysis on infrastructure networks, we can use software defined networks (SDNs) as a test bed for resilient networks and new analysis techniques. Using L1 and L3 data from large internet backbone networks, we have developed new techniques for measuring the resilience and reliability of these critical networks. To test these new techniques in real-world scenarios, we can use SDNs to dynamically create and operate networks with realistic loads, connection bandwidth, and variable size. To further explore the applications of SDNs, we will investigate the deployment of “smart” networks that utilize graph-theoretic metrics to construct resilient network structures, such as those for social networks and media streaming services. By scraping data from social sites, such as Twitter, we can construct real-world scenarios to test on our SDNs and develop techniques for improving the resilience of such networks against abnormal loads and network outages.