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An optimal peer selection for peer-to-peer video content distribution using fuzzy linear programming approach.

M Anandaraj1, Naganandhini S2

  • 1Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India.

Peerj. Computer Science
|March 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fuzzy linear programming framework for peer selection in peer-to-peer video networks. The method enhances download speed and reliability while reducing download time.

Keywords:
Content distribution networkFuzzy linear programmingFuzzy setPeer selection problemPeer to peer network

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Peer selection is critical for peer-to-peer (P2P) video content distribution network performance.
  • Dynamic P2P environments present inherent uncertainties in factors like peer reliability, bandwidth, and proximity.

Purpose of the Study:

  • To introduce a novel framework using fuzzy linear programming (FLP) to address uncertainties in P2P peer selection.
  • To optimize peer selection for improved download speed, reduced download time, and enhanced peer reliability.

Main Methods:

  • Utilizing fuzzy logic to model uncertain criteria (reliability, bandwidth, proximity) as fuzzy sets.
  • Applying fuzzy linear programming (FLP) to integrate uncertainty into the peer selection decision-making process.
  • Evaluating the proposed method through extensive simulations using SciPy.

Main Results:

  • The FLP-based method demonstrates superior performance compared to traditional approaches.
  • Achieved approximately 20% increase in download speed and a 15% decrease in download time.
  • Resulted in a notable 20% increase in peer reliability, enhancing network robustness.

Conclusions:

  • The proposed FLP framework offers an efficient and robust solution for peer selection in P2P content distribution networks.
  • The method effectively handles uncertainty, leading to significant improvements in network efficiency and content retrieval speed.
  • Applicable to a broad range of P2P video content distribution systems.