Provenance-Aware Sensor Data Storage

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Provenance-Aware Sensor Data Storage

Show simple item record Ledlie, Jonathan Braun, Uri Ng, Chaki Holland, David A. Muniswamy-Reddy, Kiran-Kumar Seltzer, Margo 2009-05-21T17:30:57Z 2005
dc.identifier.citation Ledlie, Jonathan, Chaki Ng, David A. Holland, Kiran-Kumar Muniswamy-Reddy, Uri Braun, and Margo Seltzer. 2005. Provenance-aware sensor data storage. Proceedings of the 21st IEEE International Workshop on Networking Meets Databases (NetDB05) Tokyo, Japan. International Conference on Data Engineering. April 5-8, 2005. Los Alamitos, Calif: IEEE Computer Society en
dc.description.abstract Sensor network data has both historical and realtime value. Making historical sensor data useful, in particular, requires storage, naming, and indexing. Sensor data presents new challenges in these areas. Such data is location-specific but also distributed; it is collected in a particular physical location and may be most useful there, but it has additional value when combined with other sensor data collections in a larger distributed system. Thus, arranging location-sensitive peer-to-peer storage is one challenge. Sensor data sets do not have obvious names, so naming them in a globally useful fashion is another challenge. The last challenge arises from the need to index these sensor data sets to make them searchable. The key to sensor data identity is <i>provenance</i>, the full history or lineage of the data. We show how provenance addresses the naming and indexing issues and then present a research agenda for constructing distributed, indexed repositories of sensor data. en
dc.description.sponsorship Engineering and Applied Sciences en
dc.language.iso en_US en
dc.publisher IEEE Computer Society en
dc.relation.isversionof en
dc.relation.hasversion en
dash.license LAA
dc.title Provenance-Aware Sensor Data Storage en Seltzer, Margo

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