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Traffic characterization and Internet usage in rural Africa

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dc.contributor.author Johnson, D
dc.contributor.author Pejovic, V
dc.contributor.author Belding, E
dc.contributor.author Van Stam, G
dc.date.accessioned 2012-05-07T10:34:06Z
dc.date.available 2012-05-07T10:34:06Z
dc.date.issued 2011-03
dc.identifier.citation Johnson, D, Pejovic, V, Belding, E and Van Stam, G. 2011. Traffic characterization and Internet usage in rural Africa. 20th International World Wide Web Conference (WWW11), Hyderabad, India, 28 March-1 April 2011 en_US
dc.identifier.isbn 978-1-4503-0637-9
dc.identifier.uri http://dl.acm.org/citation.cfm?id=1963363
dc.identifier.uri http://hdl.handle.net/10204/5842
dc.description Copyright: 2011 ACM. This is an ABSTRACT ONLY. en_US
dc.description.abstract While Internet connectivity has reached a significant part of the world’s population, those living in rural areas of the developing world are still largely disconnected. Recent efforts have provided Internet connectivity to a growing number of remote locations, yet Internet traffic demands cause many of these networks to fail to deliver basic quality of service needed for simple applications. For an in-depth investigation of the problem, we gather and analyze network traces from a rural wireless network in Macha, Zambia. We supplement our analysis with on-site interviews from Macha, Zambia and Dwesa, South Africa, another rural community that hosts a local wireless network. The results reveal that Internet traffic in rural Africa differs significantly from the developed world. We observe dominance of web-based traffic, as opposed to peer-to-peer traffic common in urban areas. Application-wise, online social networks are the most popular, while the majority of bandwidth is consumed by large operating system updates. Our analysis also uncovers numerous network anomalies, such as significant malware traffic. Finally, we find a strong feedback loop between net- work performance and user behavior. Based on our findings, we conclude with a discussion of new directions in network design that take into account both technical and social factors. en_US
dc.language.iso en en_US
dc.publisher Association for Computing Machinery (ACM) en_US
dc.relation.ispartofseries Workflow;7158
dc.subject Measurement en_US
dc.subject Performance en_US
dc.subject Human factors en_US
dc.title Traffic characterization and Internet usage in rural Africa en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Johnson, D., Pejovic, V., Belding, E., & Van Stam, G. (2011). Traffic characterization and Internet usage in rural Africa. Association for Computing Machinery (ACM). http://hdl.handle.net/10204/5842 en_ZA
dc.identifier.chicagocitation Johnson, D, V Pejovic, E Belding, and G Van Stam. "Traffic characterization and Internet usage in rural Africa." (2011): http://hdl.handle.net/10204/5842 en_ZA
dc.identifier.vancouvercitation Johnson D, Pejovic V, Belding E, Van Stam G, Traffic characterization and Internet usage in rural Africa; Association for Computing Machinery (ACM); 2011. http://hdl.handle.net/10204/5842 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Johnson, D AU - Pejovic, V AU - Belding, E AU - Van Stam, G AB - While Internet connectivity has reached a significant part of the world’s population, those living in rural areas of the developing world are still largely disconnected. Recent efforts have provided Internet connectivity to a growing number of remote locations, yet Internet traffic demands cause many of these networks to fail to deliver basic quality of service needed for simple applications. For an in-depth investigation of the problem, we gather and analyze network traces from a rural wireless network in Macha, Zambia. We supplement our analysis with on-site interviews from Macha, Zambia and Dwesa, South Africa, another rural community that hosts a local wireless network. The results reveal that Internet traffic in rural Africa differs significantly from the developed world. We observe dominance of web-based traffic, as opposed to peer-to-peer traffic common in urban areas. Application-wise, online social networks are the most popular, while the majority of bandwidth is consumed by large operating system updates. Our analysis also uncovers numerous network anomalies, such as significant malware traffic. Finally, we find a strong feedback loop between net- work performance and user behavior. Based on our findings, we conclude with a discussion of new directions in network design that take into account both technical and social factors. DA - 2011-03 DB - ResearchSpace DP - CSIR KW - Measurement KW - Performance KW - Human factors LK - https://researchspace.csir.co.za PY - 2011 SM - 978-1-4503-0637-9 T1 - Traffic characterization and Internet usage in rural Africa TI - Traffic characterization and Internet usage in rural Africa UR - http://hdl.handle.net/10204/5842 ER - en_ZA


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