Software-defined networking (SDN)-based network services for smart learning environment

Kannan Govindarajan, Vivekanandan Suresh Kumar, David Boulanger, Jérémie Seanosky, Jason Bell, Colin Pinnell, Kinshuk, Thamarai Selvi Somasundaram

Research output: Contribution to journalJournal Articlepeer-review


This research paper introduces a state of the art for coupling software-defined networking (SDN) capability in smart learning environment (SLE). Smart Competence LEarning Analytics platform (SCALE) is the learning analytics platform, which has been developed to analyze and measure the learners data (Big data) generated in SLE for understanding the various learners competence measures. The learning analytics involves various processes such as distributing, analyzing, and merging the results across the clusters. It requires a large amount of bandwidth and computation cycles in an on-demand manner to reduce the total computation time and computation cost. Hence, in this research paper, we introduce a SDN-based networking principle with SCALE, which provision the network paths and allocates the bandwidth in an on-demand manner. The experiment results were conducted to analyze the performance and impact of SDN in SCALE platform.

Original languageEnglish
Pages (from-to)69-76
Number of pages8
JournalLecture Notes in Educational Technology
Issue number9789812878663
Publication statusPublished - 2016


  • Big data
  • Computation cost
  • Computation time
  • Learning analytics
  • OpenFlow
  • Smart competence learning analytics platform
  • Smart learning environment
  • Software-defined networking


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