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Title:
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MULTI PRECISE INTERPOLATION-AVAILABLE KVS FOR GEOGRAPHICAL DATA MANAGEMENT |
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Author(s):
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Hiroki Saito, Tatsunori Ushikubo |
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ISBN:
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978-989-8704-10-8 |
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Editors:
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Ajith P. Abraham, Antonio Palma dos Reis and Jörg Roth |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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P2P networks, Location-based services, Geographical data processing, Interpolation. |
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Type:
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Poster/Demonstration |
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First Page:
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253 |
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Last Page:
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256 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The location-based services (LBS) deal with spatially continuous data such as temperature and air pressure. Although the distributed measurement infrastructure such as sensor networks generates real-world data, the data is incomplete and imprecise. Moreover, since spatially continuous data are large amount of collected data in the real world, we need to manage such data in a distributed architecture. As a way to manage such data, P2P-based key-value store has attracted much attention. However, existing database systems cannot deal with spatially continuous data. In this paper we design P2P-based distributed key-value store using an interpolation technique for managing spatially continuous data. |
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