NeuroCast: Adaptive Multi-source P2P Video Streaming Application for Wireless Networks - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

NeuroCast: Adaptive Multi-source P2P Video Streaming Application for Wireless Networks

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Carlos Gañán
  • Function : Author
  • PersonId : 1015921
Juan Caubet
  • Function : Author
  • PersonId : 1015922
Sergi Reñé
  • Function : Author
  • PersonId : 1015923
Jorge Mata-Díaz
  • Function : Author
  • PersonId : 1015924
Juan J. Alins
  • Function : Author
  • PersonId : 1015925
Óscar Esparza
  • Function : Author
  • PersonId : 1015926

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.
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Dates and versions

hal-01583662 , version 1 (07-09-2017)

Licence

Attribution - CC BY 4.0

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Carlos Gañán, Juan Caubet, Sergi Reñé, Jorge Mata-Díaz, Juan J. Alins, et al.. NeuroCast: Adaptive Multi-source P2P Video Streaming Application for Wireless Networks. 9th Wired/Wireless Internet Communications (WWIC), Jun 2011, Vilanova i la Geltrú, Spain. pp.272-284, ⟨10.1007/978-3-642-21560-5_23⟩. ⟨hal-01583662⟩
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