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A Satiated Method for Cloud Traffic Classification in Software Defined Network Environment

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  • Mohit Mathur

    (Jagan Institute of Management Studies, Delhi, India)

  • Mamta Madan

    (Vivekananda Institute of Professional Studies, Delhi, India)

  • Kavita Chaudhary

    (JaganNath University, Jaipur, India)

Abstract

With the advent of new technologies like software defined networking, cloud computing and Internet of Things, everything needs to be redefined. Software Define Networking (SDN) is the latest approach and an emerging network technology that will bring a major change in the area of networking. Though SDN has been successfully applied to most of the networking area but traffic classification is the area where it is yet to be applied. With the high adoption of cloud services, the traffic on cloud increased rapidly. The technologies need to be clubbed together so that they can survive in the rapidly changing environment. The paper aims at addressing the cloud traffic classification using Differential Services Code Point (DSCP) marking in software defined network environment. This allows us to identify cloud traffic separately from other web services and helps its traffic flows to be provided with special treatment over other internet services. The paper aims to classify cloud traffic along with suggesting some marking schemes to prioritize cloud traffic using DSCP of IP header.

Suggested Citation

  • Mohit Mathur & Mamta Madan & Kavita Chaudhary, 2016. "A Satiated Method for Cloud Traffic Classification in Software Defined Network Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 6(2), pages 64-79, April.
    • Handle: RePEc:igg:jcac00:v:6:y:2016:i:2:p:64-79
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