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GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams [article]

Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, Kyoung-Sook Kim
2020 arXiv   pre-print
To enable the efficient processing of spatial continuous queries and for the effective data distribution across Flink cluster nodes, a gird-based index is introduced.  ...  Apache Flink is an open-source system for scalable processing of batch and streaming data.  ...  ACKNOWLEDGMENTS This research was partly supported by JSPS KAKENHI Grant Number JP20K19806 and a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).  ... 
arXiv:2004.03352v3 fatcat:c4bdzlkmjfgapkkh7jbaiox66m

A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment

Ruijie Tian, Huawei Zhai, Weishi Zhang, Fei Wang, Yao Guan
2022 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Space and time are the basic attributes of spatio-temporal data and the basic characteristics of spatio-temporal data processing.  ...  How to construct an effective index for the application requirements of spatio-temporal data in a distributed environment has become one of the hotspots of spatio-temporal big data research.  ...  ACKNOWLEDGMENT The authors would like to thank to X. Du, C. Li, G. Peng, and C. Li, with special thank A. Eldawy, Assistant Professor, with the University of California Riverside.  ... 
doi:10.1109/jstars.2022.3175657 fatcat:tjklpbkfffasjhwillift47k2i

Dolphin: An Actor-Oriented Database for Reactive Moving Object Data Management [article]

Yiwen Wang, VIvek Shah, Marcos Antonio Vaz Salles, Claudia Bauzer Medeiros, Julio Cesar dos Reis, Yongluan Zhou
2022 Zenodo  
In a set of experimental evaluations with realistic reactive moving object scenarios, Dolphin exhibits scalability on multi-machines and provides near-real-time reaction latency.  ...  This paper explores a novel approach to enrich a distributed actor-based framework with reactive functionality and complex spatial data management along with concurrency semantics.  ...  Additional funding provided by FAPESP projects 19/074709 (Geo-spatial processing of IOT streams in digital agriculture: the case for actor database systems) and 17/02325-5, and by CNPq-Brazil projects  ... 
doi:10.5281/zenodo.5879767 fatcat:d32bh5ol4ffshhuoxc66k3uaam

A Survey on Spatio-temporal Data Analytics Systems [article]

Md Mahbub Alam and Luis Torgo and Albert Bifet
2021 arXiv   pre-print
real-world problems, a plethora of research and development work has been done in the area of spatial and spatio-temporal data analytics in the past decade.  ...  Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of  ...  However, a wide range of location-based services require real-time processing of spatial data streams.  ... 
arXiv:2103.09883v1 fatcat:ndpqz67bvnghpng36o3liqlr2q

A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring [article]

Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen
2021 arXiv   pre-print
We present a scalable stream processing platform and its integration with the other components, as well as the algorithms used for data processing.  ...  The overall system consists of energy-efficient sensor nodes that send their observations to a stream processing engine, which analyzes and enriches the data and transmits the results to a GIS-based frontend  ...  ACKNOWLEDGMENTS This work has been supported through a grant by the German Ministry for Education and Research (BMBF) as Wa-terGridSense 4.0.  ... 
arXiv:2012.00400v2 fatcat:5iq7v7hhbnejtkttd2rsm64azq