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dc.contributor.authorKugonza, Mary
dc.date.accessioned2022-05-04T09:15:29Z
dc.date.available2022-05-04T09:15:29Z
dc.date.issued2022-01-22
dc.identifier.citationKugonza, Mary. (2022). Internet measurement for enhanced performance in the COVID-19 era. (Unpublished undergraduate dissertation) Makerere University; Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/12094
dc.descriptionA final project report submitted to Makerere University in partial fulfillment of the requirements for the award of Bachelor of Science in Telecommunications Engineering of Makerere University.en_US
dc.description.abstractInternet measurements for the Enhanced covid-19 error was a project that targeted online learning platforms at Makerere University and these include; MUELE (Makerere University E-learning), MULib (Makerere University Library), in other words all the Makerere Web resources. The measurements were carried out using two measurement toolkits. RIPE Atlas probes which were software’s one installed at CEDAT(College of Engineering, Design Art and Technology) to do measurements on campus, another one on a personal computer for off campus measurements and PerfSONAR software which was installed at COSIS (College Computing and Information Sciences) for off campus measurements only. However, the RIPE Atlas measurements of probes off campus did not reach the target thus PerfSONAR was mainly used for off campus measurements. RIPE Atlas software probe carried out measurements to the target while PerfSONAR node was used as a testing point from the nodes that existed and were chosen to take part in the measurements. The scientific goal of the project was to check for connectivity (find out how reliable and available the Network is) in support of the students learning online through the use of network parameters such as ping, throughput, packet loss and latency. The project identified a high latency on a link between the default gate way and the core switch. To handle this, link aggregation has to be done to overcome the problem of high latency and in the same manner, RIPE Atlas probes and PerfSONAR nodes should be deployed in various colleges to give clearer pictureen_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectInterneten_US
dc.subjectInternet performanceen_US
dc.subjectCOVID-19 era.en_US
dc.titleInternet measurement for enhanced performance in the COVID-19 era.en_US
dc.typeThesisen_US


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