Agent-Based Content Retrieval for Opportunistic Content-Centric Networks

  • Carlos Anastasiades
  • Wafaa El Maudni El Alami
  • Torsten Braun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8458)

Abstract

In this paper, we describe agent-based content retrieval for opportunistic networks, where requesters can delegate content retrieval to agents, which retrieve the content on their behalf. The approach has been implemented in CCNx, the open source CCN framework, and evaluated on Android smart phones. Evaluations have shown that the overhead of agent delegation is only noticeable for very small content. For content larger than 4MB, agent-based content retrieval can even result in a throughput increase of 20% compared to standard CCN download applications. The requester asks every probe interval for agents that have retrieved the desired content. Evaluations have shown that a probe interval of 30s delivers the best overall performance in our scenario because the number of transmitted notification messages can be decreased by up to 80% without significantly increasing the download time.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Carlos Anastasiades
    • 1
  • Wafaa El Maudni El Alami
    • 1
  • Torsten Braun
    • 1
  1. 1.Institute of Computer Science and Applied MathematicsUniversity of BernBernSwitzerland

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