Unit Traffic Classification by Two-stage Clustering on P2PTV Applications

Rina Ooka; Takumi Miyoshi; Taku Yamazaki; Thomas Silverston

doi:10.1109/ICCE-TW52618.2021.9602901

Unit Traffic Classification by Two-stage Clustering on P2PTV Applications

Rina Ooka, Takumi Miyoshi, Taku Yamazaki, Thomas Silverston

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

Abstract

Peer-to-peer video delivery (P2PTV) is still one of popular applications to enjoy video streaming service. To grasp and understand P2PTV traffic characteristics, a two-stage unit traffic clustering method has been proposed. In this paper, we verify the efficiency and generality of the proposed method through classifying mixed traffic data sets generated by two P2PTV applications, PPStream and PPTV. From the obtained results, we successfully obtained six components of unit traffic that are independent of each other.

Original language	English
Title of host publication	2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665433280
DOIs	https://doi.org/10.1109/ICCE-TW52618.2021.9602901
Publication status	Published - 2021
Event	8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan, Province of China Duration: 2021 Sept 15 → 2021 Sept 17

Publication series

Name	2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference	8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Country/Territory	Taiwan, Province of China
City	Penghu
Period	21/9/15 → 21/9/17

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Electrical and Electronic Engineering
Control and Optimization
Instrumentation

Access to Document

10.1109/ICCE-TW52618.2021.9602901

Cite this

Ooka, R., Miyoshi, T., Yamazaki, T., & Silverston, T. (2021). Unit Traffic Classification by Two-stage Clustering on P2PTV Applications. In 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW52618.2021.9602901

Unit Traffic Classification by Two-stage Clustering on P2PTV Applications. / Ooka, Rina; Miyoshi, Takumi ; Yamazaki, Taku et al.
2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021).

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

Ooka, R, Miyoshi, T , Yamazaki, T & Silverston, T 2021, Unit Traffic Classification by Two-stage Clustering on P2PTV Applications. in 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, Institute of Electrical and Electronics Engineers Inc., 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, Penghu, Taiwan, Province of China, 21/9/15. https://doi.org/10.1109/ICCE-TW52618.2021.9602901

Ooka R, Miyoshi T , Yamazaki T, Silverston T. Unit Traffic Classification by Two-stage Clustering on P2PTV Applications. In 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021). doi: 10.1109/ICCE-TW52618.2021.9602901

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abstract = "Peer-to-peer video delivery (P2PTV) is still one of popular applications to enjoy video streaming service. To grasp and understand P2PTV traffic characteristics, a two-stage unit traffic clustering method has been proposed. In this paper, we verify the efficiency and generality of the proposed method through classifying mixed traffic data sets generated by two P2PTV applications, PPStream and PPTV. From the obtained results, we successfully obtained six components of unit traffic that are independent of each other. ",

author = "Rina Ooka and Takumi Miyoshi and Taku Yamazaki and Thomas Silverston",

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AB - Peer-to-peer video delivery (P2PTV) is still one of popular applications to enjoy video streaming service. To grasp and understand P2PTV traffic characteristics, a two-stage unit traffic clustering method has been proposed. In this paper, we verify the efficiency and generality of the proposed method through classifying mixed traffic data sets generated by two P2PTV applications, PPStream and PPTV. From the obtained results, we successfully obtained six components of unit traffic that are independent of each other.

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Unit Traffic Classification by Two-stage Clustering on P2PTV Applications

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