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Investigating optimal internet data collection in low resource networks
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...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2023
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| _version_ | 1867613200936075264 |
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| access_status_str | Open Access |
| author | Sharma, Taveesh |
| author2 | Chavula, Josiah |
| author_browse | Chavula, Josiah Sharma, Taveesh |
| author_facet | Chavula, Josiah Sharma, Taveesh |
| author_sort | Sharma, Taveesh |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/38141 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:21.936Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/38141 Investigating optimal internet data collection in low resource networks Sharma, Taveesh Chavula, Josiah Computer Science 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. 2023-07-19T11:54:04Z 2023-07-19T11:54:04Z 2023 2023-07-19T11:52:49Z Master Thesis Masters MSc http://hdl.handle.net/11427/38141 eng application/pdf Department of Computer Science Faculty of Science |
| spellingShingle | Computer Science Sharma, Taveesh Investigating optimal internet data collection in low resource networks |
| thesis_degree_str | Master's |
| title | Investigating optimal internet data collection in low resource networks |
| title_full | Investigating optimal internet data collection in low resource networks |
| title_fullStr | Investigating optimal internet data collection in low resource networks |
| title_full_unstemmed | Investigating optimal internet data collection in low resource networks |
| title_short | Investigating optimal internet data collection in low resource networks |
| title_sort | investigating optimal internet data collection in low resource networks |
| topic | Computer Science |
| url | http://hdl.handle.net/11427/38141 |
| work_keys_str_mv | AT sharmataveesh investigatingoptimalinternetdatacollectioninlowresourcenetworks |