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We present Elevator, a novel algorithm for hub sampling in peer-to-peer networks. Elevator constructs overlays whose topology lies between a random graph and a star network. Our approach makes use of preferential attachment, forming hubs spontaneously, and offering a decentralized solution for use cases that require networks with both low diameter and resilience to failures.

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Brief Announcement: A Self-* and Persistent Hub Sampling Service

  • 会议论文

  • 发表日期：

    2025年

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  • Mohamed Amine Legheraba,
  • Maria Potop-Butucaru,
  • Sébastien Tixeuil

摘要

We present Elevator, a novel algorithm for hub sampling in peer-to-peer networks. Elevator constructs overlays whose topology lies between a random graph and a star network. Our approach makes use of preferential attachment, forming hubs spontaneously, and offering a decentralized solution for use cases that require networks with both low diameter and resilience to failures.