Unit Traffic Classification by Two-stage Clustering on P2PTV Applications
Rina Ooka, Takumi Miyoshi, Taku Yamazaki, Thomas Silverston · 2021
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.