geospatial AQP

ApproxSSPS
ApproxSSPS is a system that aims at maintaining the stability of distributed geospatial data processing systems during peak data arrival rates, with quality-of-service guarantees.
Code
ApproxSSPS
SpatialSPE
SpatialSPE is an approximate query processing engine for fast-arriving geospatial data streams. It aims at maintaining the QoS during high-peak data streaming loads.
Code
SpatialSPE
Efficiently Integrating Mobility and Environment Data for Climate Change Analytics
summary
Isam Mashhour Al Jawarneh, Paolo Bellavista, Antonio Corradi, Luca Foschini, Rebecca Montanari
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Deploying & Running Approximate Geospatial Query Processing at Scale on Microsoft Azure HDInsights
This tutorial shows an example of how to run an approximate stream processing on Azure HDInsights deployed with Apache Spark and Kafka.
Isam Al Jawarneh
Jul 1, 2021 2 min read Demo
Deploying & Running Approximate Geospatial Query Processing at Scale on Microsoft Azure HDInsights
QoS-Aware Approximate Query Processing for Smart Cities Spatial Data Streams
summary
Isam Mashhour Al Jawarneh, Paolo Bellavista, Antonio Corradi, Luca Foschini, Rebecca Montanari
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Locality-Preserving Spatial Partitioning for Geo Big Data Analytics in Main Memory Frameworks
summary
Isam Mashhour Al Jawarneh, Paolo Bellavista, Antonio Corradi, Luca Foschini, Rebecca Montanari
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Spatially Representative Online Big Data Sampling for Smart Cities
summary
Isam Mashhour Al Jawarneh, Paolo Bellavista, Antonio Corradi, Luca Foschini, Rebecca Montanari
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Spatial-aware approximate big data stream processing
summary
Isam Mashhour Al Jawarneh, Paolo Bellavista, Luca Foschini, Rebecca Montanari
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SpatialSSJP
SpatialSSJP is a QoS-aware adaptive stream-static join processor for fast arriving geospatial big data streams
SpatialSSJP