Driven by the ubiquity of location-based services, that produces a massive amount of moving objects. Querying and analyzing these data become a must for a wide range of applications. This demonstration presents a scalable data management framework. The proposed system is well-suited to efficiently support several basic queries, such as range, k NN, and similarity queries. These queries and the architectural design of the proposed system are extendable, in a way that enables users to build various applications and operations.
|Original language||English (US)|
|Title of host publication||Proceedings - 2020 21st IEEE International Conference on Mobile Data Management, MDM 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|State||Published - Jun 2020|
|Event||21st IEEE International Conference on Mobile Data Management, MDM 2020 - Versailles, France|
Duration: Jun 30 2020 → Jul 3 2020
|Name||Proceedings - IEEE International Conference on Mobile Data Management|
|Conference||21st IEEE International Conference on Mobile Data Management, MDM 2020|
|Period||6/30/20 → 7/3/20|
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