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

Lei Ding; Yang Li; Haiyang Wang; Ke Xu

doi:10.1109/INFOCOMWKSHPS50562.2020.9162877

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1300-1301
Number of pages	2
ISBN (Electronic)	9781728186955
DOIs	https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162877
State	Published - Jul 2020
Externally published	Yes
Event	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada Duration: Jul 6 2020 → Jul 9 2020

Publication series

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

Conference

Conference	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Country	Canada
City	Toronto
Period	7/6/20 → 7/9/20

Access

10.1109/INFOCOMWKSHPS50562.2020.9162877

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Cite this

Ding, L., Li, Y., Wang, H., & Xu, K. (2020). Measurement and analysis of cloud user interest: A glance from bittorrent. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 (pp. 1300-1301). [9162877] (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162877

Measurement and analysis of cloud user interest : A glance from bittorrent. / Ding, Lei; Li, Yang ; Wang, Haiyang; Xu, Ke.

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1300-1301 9162877 (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ding, L, Li, Y , Wang, H & Xu, K 2020, Measurement and analysis of cloud user interest: A glance from bittorrent. in IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020., 9162877, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1300-1301, 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020, Toronto, Canada, 7/6/20. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162877

Ding L, Li Y , Wang H, Xu K. Measurement and analysis of cloud user interest: A glance from bittorrent. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1300-1301. 9162877. (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020). https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162877

Ding, Lei ; Li, Yang ; Wang, Haiyang ; Xu, Ke. / Measurement and analysis of cloud user interest : A glance from bittorrent. IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1300-1301 (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020).

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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.",

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