Software-Defined Networking (SDN)-Based Network Services for Smart Learning Environment

被引：1

作者：

Govindarajan, Kannan ^{[1
]}

Kumar, Vivekanandan Suresh ^{[1
]}

Boulanger, David ^{[1
]}

Seanosky, Jeremie ^{[1
]}

Bell, Jason ^{[1
]}

Pinnell, Colin ^{[1
]}

Kinshuk ^{[1
]}

Somasundaram, Thamarai Selvi ^{[2
]}

机构：

[1] Athabasca Univ, Edmonton, AB, Canada

[2] Anna Univ, Madras Inst Technol, Chennai, Tamil Nadu, India

来源：

STATE-OF-THE-ART AND FUTURE DIRECTIONS OF SMART LEARNING | 2016年

关键词：

Smart learning environment; Big data; Learning analytics; Smart Competence LEarning Analytics platform; Software-defined networking; OpenFlow; Computation time; Computation cost;

D O I：

10.1007/978-981-287-868-7_8

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：69 / 76

页数：8

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