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 proceedingConference 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 languageEnglish
Title of host publication2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433280
DOIs
Publication statusPublished - 2021
Event8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan, Province of China
Duration: 2021 Sep 152021 Sep 17

Publication series

Name2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Country/TerritoryTaiwan, Province of China
CityPenghu
Period21/9/1521/9/17

ASJC Scopus subject areas

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

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