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CARE: Content Aware Redundancy Elimination for Challenged Networks

URL: https://doi.org/10.1145/2390231.2390253

Bibtex Entry:

@inproceedings{2012-Weinsberg-hotnets, author = “Weinsberg, Udi and Li, Qingxi and Taft, Nina and Balachandran, Athula and Sekar, Vyas and Iannaccone, Gianluca and Seshan, Srinivasan”, title = “CARE: Content Aware Redundancy Elimination for Challenged Networks”, year = “2012”, isbn = “9781450317764”, publisher = “Association for Computing Machinery”, address = “New York, NY, USA”, url = “https://doi.org/10.1145/2390231.2390253”, doi = “10.1145/2390231.2390253”, abstract = “This paper presents the design of a novel architecture called CARE (Content-Aware Redundancy Elimination) that enables maximizing the informational value that challenged networks offer their users. We focus on emerging applications for situational awareness in disaster affected regions. Motivated by advances in computer vision algorithms, we propose to incorporate image similarity detection algorithms in the forwarding path of these networks. The purpose is to handle the large generation of redundant content. We outline the many issues involved in such a vision. With a Delay-Tolerant Network (DTN) setup, our simulations demonstrate that CARE can substantially boost the number of unique messages that escape the disaster zone, and it can also deliver them faster. These benefits are achieved despite the energy overhead needed by the similarity detectors.”, booktitle = “Workshop on Hot Topics in Networking (HotNets)”, pages = “127–132”, numpages = “6”, month = “October”, category = “CAN”, keywords = “image similarity, informational value, network architecture, challenged networks”, location = “Redmond, Washington”, series = “HotNets-XI” }

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