Paper Info
Title
Neurocast: adaptive multi-source P2P video streaming application for wireless networks
Abstract
Streaming consists in distributing media to large audiences over a computer network. Providing a streaming service for wireless mobile nodes presents many challenges. A peer-to-peer (P2P) solution has the big advantage of seamlessly scaling to arbitrary population sizes, as every node that receives the video, while consuming resources, can at the same time offer its own upload bandwidth to serve other nodes. In this paper we present the design and implementation of NeuroCast: an unstructured P2P application for video streaming. NeuroCast implements a robust scheduling algorithm which minimizes the scheduling delay. Moreover, given heterogeneous contents, delays and bandwidths. Thus, NeuroCast becomes suitable for wireless scenarios due to its capability to adapt to changing network conditions.
Year
DOI
Venue
2011
10.1007/978-3-642-21560-5_23
WWIC
Keywords
Field
DocType
adaptive multi-source,arbitrary population size,wireless network,robust scheduling algorithm,scheduling delay,wireless scenario,computer network,consuming resource,wireless mobile node,p2p application,network condition,big advantage,p2p video
Wireless network,Population,Wireless,Scheduling (computing),Computer science,Upload,Computer network,Wireless WAN,Real-time computing,Bandwidth (signal processing),Multi-source
Conference
Volume
ISSN
Citations 
6649
0302-9743
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Carlos Gañán1708.86
Juan Caubet221.72
Sergi Reñé331.14
Jorge Mata-Díaz410113.33
Juan J. Alins-Delgado5262.96
Oscar Esparza628426.58