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Related Experiment Videos

An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC.

M Anandaraj1, P Ganeshkumar1, K P Vijayakumar1

  • 1Department of Information Technology, PSNA CET, Tamilnadu 624 622, India.

Thescientificworldjournal
|November 26, 2015
PubMed
Summary
This summary is machine-generated.

Network coding (NC) enhances P2P content distribution. A new framework, I2NC, improves NC by reducing redundant data transmission, leading to significant traffic reduction and faster downloads.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Information Theory
  • Network Engineering

Background:

  • Network coding (NC) optimizes P2P content distribution by enabling intermediate nodes to combine packets.
  • Traditional NC reduces traffic but suffers from redundant transmission of non-innovative data blocks among peers.

Purpose of the Study:

  • To analyze the performance of traditional network coding in P2P networks.
  • To propose an improved framework, I2NC, for more efficient P2P content distribution.

Main Methods:

  • Mathematical modeling to analyze traditional network coding performance.
  • Development and implementation of the Intelligent Peer Selection and Incremental Network Coding (I2NC) framework.
  • Comparative analysis of I2NC against existing methods.

Main Results:

  • Traditional network coding does not fully achieve traffic reduction due to redundant transmissions.
  • The proposed I2NC framework significantly reduces unnecessary flooding of non-innovative coded packets.
  • I2NC achieved a 10-15% traffic reduction and improved average/maximum download times.

Conclusions:

  • I2NC effectively addresses the limitations of traditional network coding in P2P environments.
  • The framework enhances network coding performance by optimizing peer selection and incremental coding.
  • I2NC demonstrably reduces seeder workload and improves overall content distribution efficiency.