Relative network positioning via CDN redirections

Ao Jan Su*, David Choffnes, Fabian E Bustamante, Aleksandar Kuzmanovic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Many large-scale distributed systems can benefit from a service that allows them to select among alternative nodes based on their relative network positions. A variety of approaches propose new measurement infrastructures that attempt to scale this service to large numbers of nodes by reducing the amount of direct measurements to end hosts. In this paper, we introduce a new approach to relative network positioning that eliminates direct probing by leveraging pre-existing infrastructure. Specifically, we exploit the dynamic association of nodes with replica servers from large content distribution networks (CDNs) to determine relative position information - we call this approach CDN-based Relative network Positioning (CRP). We demonstrate how CRP can support two common examples of location information used by distributed applications: server selection and dynamic node clustering. After describing CRP in detail, we present results from an extensive wide-area evaluation that demonstrates its effectiveness.

Original languageEnglish (US)
Title of host publicationProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008
Pages377-386
Number of pages10
DOIs
StatePublished - 2008
Event28th International Conference on Distributed Computing Systems, ICDCS 2008 - Beijing, China
Duration: Jul 17 2008Jul 20 2008

Publication series

NameProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008

Other

Other28th International Conference on Distributed Computing Systems, ICDCS 2008
Country/TerritoryChina
CityBeijing
Period7/17/087/20/08

Keywords

  • Content distribution networks
  • Measurement reuse
  • Network positioning systems

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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