A hierarchical P2P clustering framework for video streaming systems

• Published in: Computer standards and interfaces Vol. 49; pp. 44 - 58
• Main Authors: Demirci, Sercan, Yardimci, Asil, Sayit, Muge, Tunali, E. Turhan, Bulut, Hasan
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.01.2017; Elsevier BV
• Subjects: Clustering; Clusters; Computer architecture; Delay; Hierarchical clustering; Overlay networks; Peer to peer computing; Peer-to-Peer networks; Performance measurement; PlanetLab; Proximity; Social networks; Streaming media; Video transmission; Overlay networks; Peer-to-Peer networks; Hierarchical clustering; PlanetLab
• ISSN: 0920-5489; 1872-7018
• DOI: 10.1016/j.csi.2016.08.002

In this study, a novel overlay architecture for constructing hierarchical and scalable clustering of Peer-to-Peer (P2P) networks is proposed. The proposed architecture attempts to enhance the clustering of peers by incorporating join, split, merge and cluster leader election mechanisms in a fully distributed manner. It takes delay proximity of peers into account as distance measure. By constructing hierarchical clustering of peers, the control message overhead and maintenance such as host departure/host join overhead are decreased. Theoretical comparisons on overheads of the proposed system with that of other systems from literature are studied. The control mechanism for dynamic peer behavior of the architecture is tested over PlanetLab. The performance metrics used are end-to-end delay, diameter, cluster head distance, occupancy rate, peer join latency, accuracy and correctness. The test results are compared with Hierarchical Ring Tree (HRT) and mOverlay architecture. In addition, a P2P video streaming application is run over the proposed network overlay. Streaming tests show that video streaming applications perform well in terms of received video quality if hierarchical clusters considering delay proximity are used as underlying network architecture. •Constructing a novel, hierarchical and scalable clustering of P2P networks.•Improving the clustering of peers with join, split, merge and leader election.•The control message and maintenance overhead i.e. host departure/join are decreased.•Results are superior to HRT and mOverlay in terms of accuracy/correctness metrics.•Video streaming applications perform well on the proposed P2P architecture.