Performance evaluation of network architectures for collaborative real-time learning systems

Kist, Alexander A. and Maiti, Ananda and Maxwell, Andrew D. and Orwin, Lindy (2013) Performance evaluation of network architectures for collaborative real-time learning systems. In: 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2013), 26-29 Aug 2013, Kuta, Indonesia.


Online learning tools are commonly used for teaching distance education students in tertiary education. These tools rely on Internet connectivity, and network performance impacts on how these systems are used. Network performance is particularly relevant for interactive, real-time interactions such as video conferencing, online control and interactive games. Systems that host these learning systems are generally hosted in a central location, often where the institution is situated. This paper presents a study that compares the performance of such a central system with a system that uses peer-to-peer connectivity for real-time interactions between students. Using Australia as an
example, the two architectures are simulated. Numerical results demonstrate the advantages of the peer to peer architecture in this context.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright © 2013 by the Institute of Electrical and Electronics Engineers, Inc. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 01 Mar 2014 03:10
Last Modified: 16 Sep 2014 03:48
Uncontrolled Keywords: distance education; online learning tools; performance; real-time
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing
08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970113 Expanding Knowledge in Education
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/TALE.2013.6654522

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