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dc.contributor.authorMárquez, Cristina 
dc.contributor.authorGramaglia, Marco 
dc.contributor.authorFiore, Marco 
dc.contributor.authorBanchs, Albert 
dc.contributor.authorZiemlicki, Cezary
dc.contributor.authorSmoreda, Zbigniew
dc.date.accessioned2021-07-13T09:31:42Z
dc.date.available2021-07-13T09:31:42Z
dc.date.issued2017-12
dc.identifier.urihttp://hdl.handle.net/20.500.12761/478
dc.description.abstractWe investigate how individual mobile services are consumed at a national scale, by studying data collected in a 3G/4G mobile network deployed over a major European country. rough correlation and clustering analyses, our study unveils a strong heterogeneity in the demand for di erent mobile services, both in time and space. In particular, we show that: (i) somehow surprisingly, almost all considered services exhibit quite di erent temporal usage pa erns; (ii) in contrast to such temporal behavior, spatial pa erns are fairly uniform across all services; (iii) when looking at usage pa erns at di erent locations, the average tra c volume per user is dependent on the urbanization level, yet its temporal dynamics are not. Our ndings do not only have sociological implications, but are also relevant to the orchestration of network resources.
dc.language.isoeng
dc.titleNot All Apps Are Created Equal: Analysis of Spatiotemporal Heterogeneity in Nationwide Mobile Service Usageen
dc.typeconference object
dc.conference.date12-15 December 2017
dc.conference.placeSeoul, South Korea
dc.conference.titleThe 13th International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT 2017)*
dc.event.typeconference
dc.pres.typepaper
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.subject.keywordNetworks
dc.subject.keywordMobile networks
dc.subject.keywordNetwork measurement
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1710


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