scholarly journals Review on Cloud Computing Application in P2P Video Streaming

2015 ◽  
Vol 50 ◽  
pp. 185-190 ◽  
Author(s):  
Nur Wahidah Bt Ab Wahid ◽  
Kommineni Jenni ◽  
Satria Mandala ◽  
Eko Supriyanto
Keyword(s):  
Cloud Computing ◽  
Video Streaming ◽  
P2p Video Streaming

scholarly journals Crowdsourced Multi-View Live Video Streaming using Cloud Computing

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 12635-12647 ◽  
Author(s):  
Kashif Bilal ◽  
Aiman Erbad ◽  
Mohamed Hefeeda
Keyword(s):  
Cloud Computing ◽  
Video Streaming ◽  
Live Video ◽  
Live Video Streaming

scholarly journals P2P video streaming combining SVC and MDC

2011 ◽  
Vol 21 (2) ◽  
pp. 295-306 ◽  
Author(s):  
Francisco de Asís López-Fuentes
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Packet Loss ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Scalable Video ◽  
Video Content ◽  
Multiple Description ◽  
Video Distribution ◽  
P2p Video Streaming

P2P video streaming combining SVC and MDC In this paper we propose and evaluate a combined SVC-MDC (Scalable Video Coding & Multiple Description Video Coding) video coding scheme for Peer-to-Peer (P2P) video multicast. The proposed scheme is based on a full cooperation established between the peer sites, which contribute their upload capacity during video distribution. The source site splits the video content into many small blocks and assigns each block to a single peer for redistribution. Our solution is implemented in a fully meshed P2P network in which peers are connected to each other via UDP (User Datagram Protocol) links. The video content is encoded by using the Scalable Video Coding (SVC) method. We present a flow control mechanism that allows us to optimize dynamically the overall throughput and to automatically adjust video quality for each peer. Thus, peers with different upload capacity receive different video quality. We also combine the SVC method with Multiple Description Coding (MDC) to alleviate the packet loss problem. We implemented and tested this approach in the PlanetLab infrastructure. The obtained results show that our solution achieves good performance and remarkable video quality in the presence of packet loss.

scholarly journals TURINstream: A Totally pUsh, Robust, and effIcieNt P2P Video Streaming Architecture

2010 ◽  
Vol 12 (8) ◽  
pp. 901-914 ◽  
Author(s):  
Andrea Magnetto ◽  
Rossano Gaeta ◽  
Marco Grangetto ◽  
Matteo Sereno
Keyword(s):  
Video Streaming ◽  
P2p Video Streaming
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