Adaptive, incentive and scalable dynamic tree overlay for P2P live video streaming
Document Type
Article
Publication Date
11-1-2016
Abstract
In this paper, we propose a new multicast tree framework to be used in peer-to-peer (P2P) live video streaming systems. The proposed system, adapts the tree links under high peer churn and runs in a totally distributed manner. In order to provide this dynamism and seamless streaming at the same time, we propose a cross layer design involving scalable video codec, backup parents and hierarchical clusters. The performance of the system is measured in real world environment PlanetLab that has nodes distributed all over the world. The experiments show that the proposed system provides high quality of experience (QoE) in terms of Peak Signal to Noise Ratio (PSNR), playback delay and duration of pauses. The proposed system also provides incentive mechanism to its users.
Identifier
84981713374 (Scopus)
Publication Title
Peer to Peer Networking and Applications
External Full Text Location
https://doi.org/10.1007/s12083-015-0390-7
e-ISSN
19366450
ISSN
19366442
First Page
1074
Last Page
1088
Issue
6
Volume
9
Recommended Citation
Sayit, Muge; Demirci, Sercan; Kaymak, Yagiz; and Tunali, E. Turhan, "Adaptive, incentive and scalable dynamic tree overlay for P2P live video streaming" (2016). Faculty Publications. 10187.
https://digitalcommons.njit.edu/fac_pubs/10187
