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

Louai Alarabi, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 languageEnglish (US)
Title of host publicationProceedings - 2020 21st IEEE International Conference on Mobile Data Management, MDM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-227
Number of pages2
ISBN (Electronic)9781728146638
DOIs
StatePublished - Jun 2020
Event21st IEEE International Conference on Mobile Data Management, MDM 2020 - Versailles, France
Duration: Jun 30 2020Jul 3 2020

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2020-June
ISSN (Print)1551-6245

Conference

Conference21st IEEE International Conference on Mobile Data Management, MDM 2020
CountryFrance
CityVersailles
Period6/30/207/3/20

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