Measurement and analysis of cloud user interest: A glance from bittorrent

Lei Ding, Yang Li, Haiyang Wang, Ke Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud computing has recently emerged as a compelling method for deploying and delivering services over the Internet. In this paper, we aim to shed new light on the learning of cloud user interest. Our study for the first time shows the existence of cloud users in such real-world content distribution systems as BitTorrent. Based on this observation, we further explore the similarity of content preferences between cloud and non-cloud users. Surprisingly, our statistical model analysis indicates that the users in the cloud AS have significantly different interests from all the observed non-cloud ASes. More dedicated researches are therefore required to better manage this elevating yet unique cloud traffic in the future.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1300-1301
Number of pages2
ISBN (Electronic)9781728186955
DOIs
StatePublished - Jul 2020
Externally publishedYes
Event2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada
Duration: Jul 6 2020Jul 9 2020

Publication series

NameIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020

Conference

Conference2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
CountryCanada
CityToronto
Period7/6/207/9/20

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