Survey on Big Data Analytics for SDN (Software Defined Networks)

Abstract

It is challenging to architect, build and support IT infrastructure to deal with the data deluge in university campuses, supercomputer centers and R&E networks. Hybrid network architecture, multi-domain bandwidth reservations, performance monitoring and GLIF Open Light path Exchanges (GOLE) are examples of network architectures that have been proposed, championed and implemented successfully to meet the needs of science. Most recently, Science DMZ, a campus design pattern that bypasses traditional performance hotspots in typical campus network implementation, has been gaining momentum. In this paper and corresponding demonstration, we build upon the SC11 SC inet Research Sandbox demonstrator with SoftwareDefined networking to explore new architectural approaches. A virtual switch network abstraction is explored, that when combined with software-defined networking concepts provides the science users a simple, adaptable network framework to meet their upcoming application requirements.

Authors and Affiliations

Pavithra. K, Ravivarma. A. K

Keywords

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  • EP ID EP22364
  • DOI -
  • Views 175
  • Downloads 4

How To Cite

Pavithra. K, Ravivarma. A. K (2016). Survey on Big Data Analytics for SDN (Software Defined Networks). International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(7), -. https://www.europub.co.uk/articles/-A-22364