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

被引：1

作者：

Alarabi, Louai ^{[1
]}

Mokbel, Mohamed F. ^{[2
]}

机构：

[1] Umm Al Qura Univ, Dept Comp Sci, Mecca, Saudi Arabia

[2] Univ Minnesota Twin Cities, Dept Comp Sci & Engn, Minneapolis, MN USA

来源：

2020 21ST IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2020) | 2020年

关键词：

D O I：

10.1109/MDM48529.2020.00046

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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, kNN, 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.

引用

页码：226 / 227

页数：2

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