A Demonstration of Summit: a Scalable Data Management Framework for Massive Trajectory

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.