NDLI: Cedar: An optimized network-aware solution for P2P video multicast

Content Provider	IEEE Xplore Digital Library
Author	Mora, E.G. Greco, C. Pesquet-Popescu, B. Cagnazzo, M. Farah, J.
Copyright Year	2012
Description	Author affiliation: Holy-Spirit University of Kaslik, Faculty of Engineering, Jounieh, Lebanon (Farah, J.) \|\| Telecom ParisTech, TSI department, 46 rue Barrault, F-75634 Cedex 13, France (Mora, E.G.; Greco, C.; Pesquet-Popescu, B.; Cagnazzo, M.)
Abstract	Video multicast is an important application for P2P networks, which can benefit from the load repartitioning and large scale distribution properties they offer. In this context, the Orchard algorithm was developed in 2007, with an aim to build a P2P system meeting video multicast requirements. However, Orchard suffers from a slow overlay construction and a potentially high end-to-end delay. In this work, we propose a new algorithm that we call Cedar. Based on Orchard, it integrates original functionalities to speed-up the tree construction and builds a topologically-aware overlay network in order to minimize end-to-end delay. Simulation results showed that Cedar fulfilled its requirements, as the tree construction speed was increased by at least 64%, and the end-to-end delays reduced from around 20 seconds to a maximum of 5 seconds. The Network Awareness functionality also reduced end-to-end delays by 33%.
Starting Page	1
Ending Page	6
File Size	184282
Page Count	6
File Format	PDF
ISBN	9781467307451
e-ISBN	9781467307475
e-ISBN	9781467307468
DOI	10.1109/ICTEL.2012.6221262
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-23
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Peer to peer computing Application Level Multicasting (ALM) Color Multiple description coding (MDC) Streaming media Peer-to-peer (P2P) Resource reciprocation Vectors Servers Distributed algorithms Delay
Content Type	Text
Resource Type	Article

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