Distributed overlay anycast tables using space filling curves

  • Authors:
  • Eleni Mykoniati;Lawrence Latif;Raul Landa;Ben Yang;Richard Clegg;David Griffin;Miguel Rio

  • Affiliations:
  • Department of Electronic and Electrical Engineering, University College London;Department of Electronic and Electrical Engineering, University College London;Department of Electronic and Electrical Engineering, University College London;Department of Electronic and Electrical Engineering, University College London;Department of Electronic and Electrical Engineering, University College London;Department of Electronic and Electrical Engineering, University College London;Department of Electronic and Electrical Engineering, University College London

  • Venue:
  • INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
  • Year:
  • 2009

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Abstract

In this paper we present the Distributed Overlay Anycast Table, a structured overlay that implements application-layer anycast, allowing the discovery of the closest host that is a member of a given group. One application is in locality-aware peer-to-peer networks, where peers need to discover low-latency peers participating in the distribution of a particular file or stream. The DOAT makes use of network delay coordinates and a space filling curve to achieve locality-aware routing across the overlay, and Bloom filters to aggregate group identifiers. The solution is designed to optimise both accuracy and query time, which are essential for real-time applications. We simulated DOAT using both random and realistic node distributions. The results show that accuracy is high and query time is low.