scholarly journals Popularity Aware Limited Caching for Reliable On Demand P2P Video Streaming

2012 ◽  
Vol 58 (13) ◽  
pp. 9-15
Author(s):  
T. Suresh ◽  
K. Vekatachalapathy
Author(s):  
Fabio V. Hecht ◽  
Thomas Bocek ◽  
Flávio Roberto Santos ◽  
Burkhard Stiller

2011 ◽  
Vol 57 (4) ◽  
pp. 392-403 ◽  
Author(s):  
Yun-Shuai Yu ◽  
Ce-Kuen Shieh ◽  
Chun-Hsiang Lin ◽  
Szu-Yu Wang

2020 ◽  
pp. 136787792095316
Author(s):  
Amanda D Lotz

The different technological affordances and revenue models of subscriber-funded, internet-distributed video streaming services have altered the competitive environments of audiovisual services. One category of these services, multinational SVODs (subscription video on demand), are changing the dynamics of transnational video distribution. Although having subscribers and offices, and commissioning content from many countries, are obvious measures of these services’ multinational status, the extent to which the distinct affordances of these services diminish the national lens through which all other international television trade occurs may be the most profound measure. The article explores how this too becomes a distinguishing competitive tool for Netflix that enables uncommon content strategies, such as the ability to program for tastes and sensibilities too small to effectively form a viable market for services limited by national reach.


Author(s):  
Francisco de Asís López-Fuentes

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.


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