IoT 18(13): e2

Research Article

SAND: Smart and Adaptable Networking Design Using Virtual Slicing over Software-Defined Network

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  • @ARTICLE{10.4108/eai.6-4-2018.155333,
        author={Farah I. Kandah and Steven Schmitt},
        title={SAND: Smart and Adaptable Networking Design Using Virtual Slicing over Software-Defined Network},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={4},
        number={13},
        publisher={EAI},
        journal_a={IOT},
        year={2018},
        month={8},
        keywords={Load balance, SDN, Virtual Slicing},
        doi={10.4108/eai.6-4-2018.155333}
    }
    
  • Farah I. Kandah
    Steven Schmitt
    Year: 2018
    SAND: Smart and Adaptable Networking Design Using Virtual Slicing over Software-Defined Network
    IOT
    EAI
    DOI: 10.4108/eai.6-4-2018.155333
Farah I. Kandah1,*, Steven Schmitt1
  • 1: Computer Science and Engineering Department University of Tennessee at Chattanooga, Chattanooga, TN 37403
*Contact email: farah-kandah@utc.edu

Abstract

The importance of reliable and adaptable networks has become increasingly relevant with the escalation of connectivity in our lives. The growth of streaming of entertainment and development of always online software has created an environment of large data flows that need to be handled efficiently. Historically this problem has been solved with hardware-based load-balancers. These solutions often times are expensive and lack flexibility and scalability. With the use of Software-Defined Networking, a more dynamic solution can be created to meet network load balancing needs. We propose a Smart and adaptable network design seeking to utilize network resources more efficiently by identifying traffic patterns and analyzing network metric to dynamically build virtual slices. With this design, we were able to solve the aforementioned issues through minimizing packet loss, maximizing network link utilization, and efficiently reduce the load on the controller.