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

Text anastasiades2.pdf - Accepted Version Restricted to registered users only Available under License Publisher holds Copyright. Download (155kB)

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.

Interest & Impact

Downloads

25 since deposited on 16 May 2014
0 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item