Investigating optimal internet data collection in low resource networks
| dc.contributor.advisor | Chavula, Josiah | |
| dc.contributor.author | Sharma, Taveesh | |
| dc.date.accessioned | 2023-07-19T11:54:04Z | |
| dc.date.available | 2023-07-19T11:54:04Z | |
| dc.date.issued | 2023 | |
| dc.date.updated | 2023-07-19T11:52:49Z | |
| dc.description.abstract | Community networks have been proposed by many networking experts and researchers as a way to bridge the connectivity gaps in rural and remote areas of the world. Many community networks are built with low-capacity computing devices and low-capacity links. Such community networks are examples of low resource networks. The design and implementation of computer networks using limited hardware and software resources has been studied extensively in the past, but scheduling strategies for conducting measurements on these networks remains an important area to be explored. In this study, the design of a Quality of Service monitoring system is proposed, focusing on performance of scheduling of network measurement jobs in different topologies of a low-resource network. We also propose a virtual network testbed and perform evaluations of the system under varying measurement specifications. Our results show that the system is capable of completing almost 100% of the measurements that are launched by users. Additionally, we found that the error due to contention for network resources among measurements stays constant at approximately 34% with increasing number of measurement nodes. | |
| dc.identifier.apacitation | Sharma, T. (2023). <i>Investigating optimal internet data collection in low resource networks</i>. (). ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/38141 | en_ZA |
| dc.identifier.chicagocitation | Sharma, Taveesh. <i>"Investigating optimal internet data collection in low resource networks."</i> ., ,Faculty of Science ,Department of Computer Science, 2023. http://hdl.handle.net/11427/38141 | en_ZA |
| dc.identifier.citation | Sharma, T. 2023. Investigating optimal internet data collection in low resource networks. . ,Faculty of Science ,Department of Computer Science. http://hdl.handle.net/11427/38141 | en_ZA |
| dc.identifier.ris | TY - Master Thesis AU - Sharma, Taveesh AB - Community networks have been proposed by many networking experts and researchers as a way to bridge the connectivity gaps in rural and remote areas of the world. Many community networks are built with low-capacity computing devices and low-capacity links. Such community networks are examples of low resource networks. The design and implementation of computer networks using limited hardware and software resources has been studied extensively in the past, but scheduling strategies for conducting measurements on these networks remains an important area to be explored. In this study, the design of a Quality of Service monitoring system is proposed, focusing on performance of scheduling of network measurement jobs in different topologies of a low-resource network. We also propose a virtual network testbed and perform evaluations of the system under varying measurement specifications. Our results show that the system is capable of completing almost 100% of the measurements that are launched by users. Additionally, we found that the error due to contention for network resources among measurements stays constant at approximately 34% with increasing number of measurement nodes. DA - 2023_ DB - OpenUCT DP - University of Cape Town KW - Computer Science LK - https://open.uct.ac.za PY - 2023 T1 - Investigating optimal internet data collection in low resource networks TI - Investigating optimal internet data collection in low resource networks UR - http://hdl.handle.net/11427/38141 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/38141 | |
| dc.identifier.vancouvercitation | Sharma T. Investigating optimal internet data collection in low resource networks. []. ,Faculty of Science ,Department of Computer Science, 2023 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/38141 | en_ZA |
| dc.language.rfc3066 | eng | |
| dc.publisher.department | Department of Computer Science | |
| dc.publisher.faculty | Faculty of Science | |
| dc.subject | Computer Science | |
| dc.title | Investigating optimal internet data collection in low resource networks | |
| dc.type | Master Thesis | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationlevel | MSc |