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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Location-proximity-based clustering method for peer-to-peer multimedia streaming services with multiple sources.

Changkyu Lee1,2, Shin-Gak Kang1,2, Anand Nayyar3

  • 1Department of ICT, University of Science and Technology (UST), Daejeon, Republic of Korea.

Multimedia Tools and Applications
|May 24, 2021
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Summary

This study enhances peer-to-peer (P2P) multimedia streaming for multiple sources by clustering users based on location. This improves scalability and video quality for services like multi-view streaming and video conferencing.

Keywords:
ClusteringMulti-view video streamingPeer to peer networkingVideo conferencing

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Area of Science:

  • Computer Science
  • Networking
  • Multimedia Systems

Background:

  • The COVID-19 pandemic accelerated Over-The-Top (OTT) market growth, increasing demand for efficient video delivery.
  • Multimedia streaming with multiple sources presents scalability challenges for traditional tree-based Peer-to-Peer (P2P) networks due to linear out-degree limitations.

Purpose of the Study:

  • To propose and evaluate a location-proximity-based clustering method for enhancing the scalability of P2P multimedia streaming with multiple sources.
  • To demonstrate the effectiveness of this clustering approach for applications like multi-view video streaming and multiparty video conferencing.

Main Methods:

  • Developed a P2P multimedia streaming system utilizing clustered peers, where groups of geographically proximate peers form virtual peers with aggregated capacities.
  • Designed and described algorithms for the proposed peer clustering method based on location proximity.

Main Results:

  • Location-proximity-based clustering effectively enhances the scalability of P2P multimedia streaming by reducing the out-degree of the P2P tree structure.
  • Experimental results show improvements in maximum and average video bit rates and reduced perceived delay for the tested applications.

Conclusions:

  • Clustering peers by location proximity is a viable strategy to overcome the scalability limitations of tree-based P2P networks for multimedia streaming with multiple sources.
  • The proposed method offers significant performance benefits for emerging multimedia applications requiring efficient and scalable video delivery.