Mobile data offloading: How much can WiFi deliver?

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dc.contributor.authorLee, Kyunghanko
dc.contributor.authorRhee, Injongko
dc.contributor.authorLee, Joohyunko
dc.contributor.authorYi, Yungko
dc.contributor.authorChong, Songko
dc.date.accessioned2013-03-28T08:59:55Z-
dc.date.available2013-03-28T08:59:55Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2010-08-30-
dc.identifier.citation7th International Conference on Autonomic Computing, SIGCOMM 2010, pp.425 - 426-
dc.identifier.urihttp://hdl.handle.net/10203/164329-
dc.description.abstractThis is a quantitative study on the performance of 3G mobile data offloading through WiFi networks. We recruited about 100 iPhone users from a metropolitan area and collected statistics on their WiFi connectivity during about a two and half week period in February 2010. We find that a user is in WiFi coverage for 70% of the time on average and the distributions of WiFi connection and disconnection times have a strong heavy-tail tendency with means around 2 hours and 40 minutes, respectively. Using the acquired traces, we run trace-driven simulation to measure offloading efficiency under diverse conditions e.g. traffic types, deadlines and WiFi deployment scenarios. The results indicate that if users can tolerate a two hour delay in data transfer (e.g, video and image up-loads), the network can offload 70% of the total 3G data traffic on average. We also develop a theoretical framework that permits an analytical study of the average performance of offloading. This tool is useful for network providers to obtain a rough estimate on the average performance of offloading for a given inputWiFi deployment condition.-
dc.languageEnglish-
dc.publisherACM Special Interest Group on Data Communication (SIGCOMM)-
dc.titleMobile data offloading: How much can WiFi deliver?-
dc.typeConference-
dc.identifier.scopusid2-s2.0-78149348132-
dc.type.rimsCONF-
dc.citation.beginningpage425-
dc.citation.endingpage426-
dc.citation.publicationname7th International Conference on Autonomic Computing, SIGCOMM 2010-
dc.identifier.conferencecountryII-
dc.identifier.conferencelocationNew Delhi-
dc.identifier.doi10.1145/1851182.1851244-
dc.contributor.localauthorYi, Yung-
dc.contributor.localauthorChong, Song-
dc.contributor.nonIdAuthorLee, Kyunghan-
dc.contributor.nonIdAuthorRhee, Injong-
dc.contributor.nonIdAuthorLee, Joohyun-
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EE-Conference Papers(학술회의논문)
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