HyperSpring: Accurate and Stable Latency Estimation in the Hyperbolic Space

  • Authors:
  • Yongquan Fu;Yijie Wang

  • Affiliations:
  • -;-

  • Venue:
  • ICPADS '09 Proceedings of the 2009 15th International Conference on Parallel and Distributed Systems
  • Year:
  • 2009

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Abstract

Predicting network latencies between Internet hosts can efficiently support large-scale Internet applications, e.g., file sharing service and the overlay construction. Several study use the Hyperbolic space to model the Internet dense-core and many-tendril structure. However, existing Hyperbolic space based embedding approaches are not designed for accurate latency estimation in the distributed context. We present HyperSpring, which estimates latency by modelling a mass spring system in the Hyperbolic similar with Vivaldi. HyperSpring adopts coordinate initialization to speed up the convergence of coordinate computation, uses multiple-round symmetric updates to escape from bad local minima, and stabilizes coordinates by compensating RTT measurements to reduce the coordinate drifts. Evaluation results based on a network trace of 226 PlanetLab nodes indicate that, compared to Euclidean-space based Vivaldi, HyperSpring provides performance improvements for most nodes, and incurs slightly higher distortions for a small number of nodes.