Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/13981
Title: Moodle system performance analysis of Wayamba University
Authors: Jayakody, J.R.K.C.
Ekanayaka, S.M.E.W.P.M.
Ubesinghe, U.W.A.C.C.
Keywords: Performance analysis
Learn Management System
network design
Issue Date: 2016
Publisher: Department of Zoology and Environmental Management, University of Kelaniya, Kelaniya, Sri Lanka.
Citation: Jayakody, J.R.K.C., Ekanayaka, S.M.E.W.P.M., and U.W.A.C.C. Ubesinghe 2016. Moodle system performance analysis of Wayamba University. In: Proceedings of the International Symposium on Information and Communication Technology for Sustainable Development, 10-12 August 2016, V.P.A. Weerasinghe and W.M.D.N. Wijeyaratne (Eds.), p 24, Department of Zoology and Environmental Management, University of Kelaniya, Kelaniya, Sri Lanka 57pp.
Abstract: Moodle is an online management system which was built for online learning. Moodle has already become a term of its own synonymous with a software package designed to help educators create quality online education. Most of the higher educational courses are conducted based on Moodle system. Due to different factors Moodle system performance degrade which makes a difficult task to academics to conduct the Moodle based courses. Research was done mostly with the Moodle resources of Wayamba University to check the response time of the pages for the users requests such as login page, video resource page, forum pages and discussion pages. System starts response and system finishes response was used as the performance matrices for Moodle resources. Several factors such as computer parameters (Speed of the CPU, Number of cores, Capacity of the disk, Main memory available capacity), network parameters (Network structure, Types of switches, routers ), Moodle services (login , view image ,view video files) were considered to evaluate the Moodle system performances. Apache JMeter was used as the testing tool. JMeter was used to simulate a heavy load on a server to test its strength or to analyze overall performance under different load types. Thread groups, config elements, timers, samplers and listeners were used extensively to check the performance. Testing data were collected during 20 working days. According to the analysis, number of users, size of the resources, and speed of the CUP with response time showcase a significant negative linear relationship.
URI: http://repository.kln.ac.lk/handle/123456789/13981
ISBN: 978-955-4563-83-4
Appears in Collections:International Symposium on ICT for Sustainable Development (ICTSD 2016)

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