Name
Abstract | ||
|---|---|---|
With the development of Internet of Things (IoT), large amounts of sensor data, which has the characteristics of multi-source, high speed and large volumes, etc., are generated. Traditional data storage and query approaches cannot handle them properly. To deal with such limitations, a unified storage and query optimization framework, named DeCloud-RealBase, is proposed towards the management of large volumes of sensor data. An adaptation layer is applied to connect the bottom-layer database clusters and basic database operations can be realized by top-layer applications through a unified interface. Furthermore, Caching technology, data partition strategy and multi-threading technology are applied to realize data storage and query in a high performance manner. Experiments demonstrate that DeCloud-RealBase is capable of handling the storage and query of sensor data with an excellent performance. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/WISA.2015.13 | IEEE WISA |
Keywords | Field | DocType |
sensor data, data management, database cluster, adaptation layer | Query optimization,Web search query,RDF query language,Query expansion,Computer science,Sargable,View,Query by Example,Online aggregation,Database,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4673-9371-3 | 1 | 0.40 |
References | Authors | |
0 | 3 | |