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Low-diameter topic-based pub/sub overlay network construction with minimum-maximum node degree.

Semih Yumusak1, Sina Layazali2, Kasim Oztoprak3

  • 1Department of Computer Engineering, KTO Karatay University, Konya, Turkey.

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Summary
This summary is machine-generated.

This study introduces the CD-MAX algorithm for overlay networks, significantly reducing maximum node degree while maintaining a low network diameter. This improves network efficiency and scalability.

Keywords:
Overlay network designPeer-to-peer networksPublisher/subscriber systems

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Area of Science:

  • Computer Science
  • Network Engineering
  • Distributed Systems

Background:

  • Overlay network design prioritizes low diameter and node degree for scalability.
  • Existing algorithms struggle to simultaneously optimize both diameter and maximum node degree.
  • Publish/subscribe (pub/sub) systems require efficient and scalable network structures.

Purpose of the Study:

  • To present a novel heuristic algorithm, CD-MAX, for constructing overlay networks.
  • To decrease the maximum node degree while maintaining a constant network diameter of two.
  • To enhance the algorithm's performance through a refinement stage (CD-MAX-Ref).

Main Methods:

  • The CD-MAX algorithm employs a greedy merge approach, selecting nodes with minimal neighbors.
  • A refinement stage, CD-MAX-Ref, is applied to further optimize maximum node degrees.
  • Algorithm performance was evaluated through simulations.

Main Results:

  • CD-MAX and CD-MAX-Ref algorithms successfully decrease the maximum node degree.
  • The network diameter is maintained at a maximum of two.
  • Simulations show up to a 64% improvement in maximum node degree.
  • The algorithms run up to four times faster than comparable existing methods.

Conclusions:

  • The CD-MAX and CD-MAX-Ref algorithms offer an effective solution for designing scalable overlay networks.
  • These algorithms provide a significant improvement in network efficiency by reducing node degree and maintaining low diameter.
  • The proposed methods outperform existing algorithms in terms of both performance and speed.