Agent-based Content Retrieval for Opportunistic Content-Centric Networks

Anastasiades, Carlos; Braun, Torsten; El Maudni El Alami, Wafaa (26 May 2014). Agent-based Content Retrieval for Opportunistic Content-Centric Networks. Lecture notes in computer science, 8458, pp. 175-188. Springer 10.1007/978-3-319-13174-0_14

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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.

Item Type: Conference or Workshop Item (Paper)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Anastasiades, Carlos and Braun, Torsten
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
ISSN: 0302-9743
Series: Lecture Notes in Computer Science
Publisher: Springer
Language: English
Submitter: Jonnahtan Eduardo Saltarin de Arco
Date Deposited: 16 May 2014 09:51
Last Modified: 13 Jan 2015 11:04
Publisher DOI: 10.1007/978-3-319-13174-0_14
BORIS DOI: 10.7892/boris.52602

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