A networking laboratory using an integrated mixture of physical equipment and simulators

Chan, Ka C. and Haythorne, Sean (2017) A networking laboratory using an integrated mixture of physical equipment and simulators. Computer Applications in Engineering Education, 25 (5). pp. 681-692. ISSN 1061-3773


This article presents the design and development of a networking laboratory that integrates a combination of physical networking equipment with the open source GNS3 network simulators for on-campus, blended-learning, and potentially online delivery of networking classes. This transformative work has resulted in a significant increase in laboratory capacity, thus reducing the need for repeating classes. The integrated platform offers students both hands-on experience using real equipment, and the convenience of easy setup and reconfiguration using simulators. An example practical exercise in setting up an OSPF/BGP network is presented to illustrate the experimental design before and after the integration of GNS3 simulators. In summary, we describe the infrastructure, the integrated platform and systems, network design and experiment design; and the learning and teaching experiences of using GNS3 in classes.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 29 Mar 2018 02:08
Last Modified: 09 May 2018 00:29
Uncontrolled Keywords: computer networks, network simulation, networking laboratories, virtualization
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
Socio-Economic Objective: C Society > 93 Education and Training > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies
Identification Number or DOI: 10.1002/cae.21829
URI: http://eprints.usq.edu.au/id/eprint/33927

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