IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects

Jianqiu Xu, Hua Lu, Zhifeng Bao

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Due to the widespread use of GPS-enabled devices such as smartphones, the research field of moving objects databases has been quite active in the past decade. Human movements are recorded, managed and analyzed for a plethora of applications. In this demo, we introduce a toolbox named IMO to simulate and query infected moving objects. This is primarily motivated by COVID-19 virus pandemic recently. We model the spreading behavior to demonstrate when and where people are infected. The protection policy is simulated such that one can see the isolation and self protection effects such as human movement restriction and the wearing of masks. Optimization techniques are developed to enhance the performance, including data storage, data partition and index structures. This is not a standalone software but a toolbox embedded in SECONDO, an open source and extensible database system. To the best of our knowledge, simulating and querying infected objects are not supported in existing moving objects prototype systems. Demo attendees can conveniently pose their queries and adjust parameters in the interface and the system will visualize the result after only a short delay.
Original languageEnglish
JournalProceedings of the VLDB Endowment
Volume13
Issue number12
Pages (from-to)2825-2828
Number of pages4
ISSN2150-8097
DOIs
Publication statusPublished - 2020
Event46th International Conference on Very Large Data Bases - Tokyo (Online), Tokyo, Japan
Duration: 31 Aug 20204 Sep 2020
Conference number: 46
https://vldb2020.org/

Conference

Conference46th International Conference on Very Large Data Bases
Number46
LocationTokyo (Online)
CountryJapan
CityTokyo
Period31/08/202004/09/2020
Internet address

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