A New Paradigm for Querying Blobs in Vehicular Networks
Ouri Wolfson, University of Illinois at Chicago
Bo Xu, Argonne National Laboratory and University of Illinois at Chicago
In this article, the authors study querying binary large objects (blobs) such as video and voice clips in a network of vehicles communicating wirelessly. They introduce a novel paradigm, describe a set of derived query-processing strategies and compare them along three dimensions: push versus pull, whether or not a communication infrastructure is utilized, and whether metadata dissemination is separated from blob dissemination. They analyze these strategies theoretically and experimentally in terms of answer throughput and communication overhead.

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