Distributed DASH dataset

  • Authors:
  • Stefan Lederer;Christopher Mueller;Christian Timmerer;Cyril Concolato;Jean Le Feuvre;Karel Fliegel

  • Affiliations:
  • Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria;Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria;Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria;Telecom ParisTech, PARIS;Telecom ParisTech, PARIS;Czech Technical University in Prague, Prague, Czech Republic

  • Venue:
  • Proceedings of the 4th ACM Multimedia Systems Conference
  • Year:
  • 2013

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Abstract

The delivery of multimedia content over HTTP and on top of existing Internet infrastructures is becoming the preferred method within heterogeneous environment. The basic design principle is having an intelligent client which selects given and applicable media representations by issuing HTTP requests for individual segments based on the users' context and current conditions. Typically, this client behavior differs between implementations of the same kind and for the objective evaluations thereof appropriate datasets are needed. This paper presents a distributed dataset for the recently published MPEG-DASH standard which is mirrored at different sites across Europe, namely Klagenfurt, Paris, and Prague. A client implementation may choose to request segments from these sites and dynamically switch to a different location, e.g., in case the one currently used causes any issues. Thus, this distributed DASH dataset can be used for real-world evaluations enabling the simulation of switching between different content delivery networks.