SMART-IMPALA: Efficient Querying of hyper Massive Spatiotemporal Trajectory Data-Reference-Cited by-同舟云学术

SMART-IMPALA: Efficient Querying of hyper Massive Spatiotemporal Trajectory Data

Published:2021-11-03 Issue: Volume: Page:
ISSN:
Container-title:2021 28th International Conference on Geoinformatics
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Author:

Zhou Lianjie¹,Tu Wei²,Li Qingquan²

Affiliation:

1. School of civil engineering, Chongqing Jiaotong University,Chongqing,China,400074

2. School of Architecture and Urban Planning, Shenzhen University,Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute of Smart Cities,Shenzhen,China,518060

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9687620/9687504/09687505.pdf?arnumber=9687505

Reference15 articles.

1. New generation Sensor Web Enablement;arne;SENSORS,2011

2. Geospatial sensor web: A cyber-physical infrastructure for geoscience research and application

3. A heterogeneous key performance indicator metadata model for air quality monitoring in sustainable cities

4. MD-HBase: A Scalable Multidimensional Data Infrastructure for Location Aware Services;nishimura;IEEE International Conference on Mobile Data Management,2011

5. HGrid: A Data Model for Large Geospatial Data Sets in HBase;dan;2013 IEEE Sixth International Conference on Cloud Computing,2013

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