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Efficient Algorithms for Coded Multicasting in Heterogeneous Caching Networks.

Giuseppe Vettigli1, Mingyue Ji2, Karthikeyan Shanmugam3

  • 1Department of Electrical Engineering and Information Technology (DIETI), Universitá di Napoli Federico II, 80138 Napoli, Italy.

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|December 3, 2020
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Summary
This summary is machine-generated.

New coded multicasting schemes reduce complexity for content delivery networks. These novel approaches maintain high performance in heterogeneous networks, making advanced caching more practical.

Keywords:
approximation algorithmscaching networkscoded cachingcoded multicastingfinite-length analysisgraph coloringindex codingrandom fractional caching

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Area of Science:

  • Computer Science
  • Network Engineering
  • Information Theory

Background:

  • Coded multicasting enhances content delivery networks (CDNs) but often requires exponentially complex codes.
  • Existing optimal schemes face performance-complexity tradeoffs due to large packetization needs.
  • Heterogeneous caching networks present unique challenges with varying cache capacities and demands.

Purpose of the Study:

  • To address the performance-complexity tradeoff in coded multicasting for heterogeneous caching networks.
  • To develop novel coded multicast schemes with polynomial-time complexity.
  • To maintain multiplicative caching gains in practical, finite packetization scenarios.

Main Methods:

  • Extending asymptotic analysis of shared link caching to heterogeneous settings.
  • Developing novel coded multicast schemes based on local graph coloring.
  • Analyzing the tradeoff between packetization order and request aggregation.

Main Results:

  • Proposed schemes exhibit polynomial-time complexity in all system parameters.
  • Asymptotically proven multiplicative caching gain is preserved for finite file packetization.
  • Demonstrated a tradeoff between packetization order and request aggregation, maintaining caching gains.

Conclusions:

  • Novel coded multicast schemes offer a practical solution for heterogeneous caching networks.
  • The developed methods balance performance and complexity, enabling efficient content delivery.
  • Results pave the way for practical implementation of significant caching gains in next-generation networks.