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An experimental study of big spatial data systems

https://doi.org/10.1109/bigdata.2016.7840909
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-48482-5_7openalex-snapshot
XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension
inferredcites →https://doi.org/10.1007/978-1-4842-1004-8_11openalex-snapshot
Google Cloud Dataflow
inferredcites →https://doi.org/10.1007/978-3-540-45072-6_4openalex-snapshot
Bkd-Tree: A Dynamic Scalable kd-Tree
inferredcites →https://doi.org/10.1007/s10619-012-7109-zopenalex-snapshot
$\mathcal{MD}$ -HBase: design and implementation of an elastic data infrastructure for cloud-scale location services
inferredcites →https://doi.org/10.1109/32.6139openalex-snapshot
PROBE spatial data modeling and query processing in an image database application
inferredcites →https://doi.org/10.1109/bigdata.2013.6691586openalex-snapshot
Spatio-temporal indexing in non-relational distributed databases
inferredcites →https://doi.org/10.1109/mdm.2011.41openalex-snapshot
MD-HBase: A Scalable Multi-dimensional Data Infrastructure for Location Aware Services
inferredcites →https://doi.org/10.1117/12.2177233openalex-snapshot
GeoMesa: a distributed architecture for spatio-temporal fusion
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/2820783.2820860openalex-snapshot
GeoSpark
inferredcites →https://doi.org/10.1145/2886107.2886110openalex-snapshot
Resilient Distributed Datasets
inferredcites →https://doi.org/10.1145/3003421.3003432openalex-snapshot
A survey of techniques and open-source tools for processing streams of spatio-temporal events
inferredcites →https://doi.org/10.14778/2536274.2536283openalex-snapshot
A demonstration of SpatialHadoop
inferredcites →https://doi.org/10.5555/1298455.1298475openalex-snapshot
Bigtable: a distributed storage system for structured data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.2649875openalex-extracted
Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data
inferred← citeshttps://doi.org/10.1007/978-3-662-62919-2_7openalex-snapshot
Big Spatial and Spatio-Temporal Data Analytics Systems
inferred← citeshttps://doi.org/10.1007/s10707-020-00407-wopenalex-snapshot
MongoDB Vs PostgreSQL: A comparative study on performance aspects
inferred← citeshttps://doi.org/10.1007/s11280-022-01067-6openalex-snapshot
Distributed processing of spatiotemporal ocean data: a survey
inferred← citeshttps://doi.org/10.1016/j.scico.2017.08.008openalex-snapshot
Design and implementation of a cross-layer IoT protocol
inferred← citeshttps://doi.org/10.1080/24694452.2024.2394078openalex-snapshot
Private, Public, Personal: Shifting Patterns in Geospatial Data Sources in Geographic Research
inferred← citeshttps://doi.org/10.1109/icbda57405.2023.10105005openalex-snapshot
Distributed or Centralized: An Experimental Study on Spatial Database Systems for Processing Big Trajectory Data
inferred← citeshttps://doi.org/10.1109/itsc58415.2024.10919665openalex-snapshot
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
inferred← citeshttps://doi.org/10.1109/iv55152.2023.10186770openalex-snapshot
ZEBRA: Z-order Curve-based Event Retrieval Approach to Efficiently Explore Automotive Data
inferred← citeshttps://doi.org/10.1109/lagirs48042.2020.9165675openalex-snapshot
Pairs (Re)Loaded: System Design & Benchmarking For Scalable Geospatial Applications
inferred← citeshttps://doi.org/10.1109/mdm55031.2022.00087openalex-snapshot
Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload
inferred← citeshttps://doi.org/10.1109/mdm71479.2026.00018openalex-snapshot
GeoBenchr: An Application-Centric Benchmarking Suite for Spatiotemporal Database Platforms
inferred← citeshttps://doi.org/10.1111/tgis.12846openalex-snapshot
Applications of geospatial big data in the Internet of Things
inferred← citeshttps://doi.org/10.1145/3507904openalex-snapshot
A Survey on Spatio-temporal Data Analytics Systems
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1595392/v1openalex-snapshot
Distributed Processing of Ocean Spatiotemporal Data: A Survey
inferred← citeshttps://doi.org/10.3390/app9204261openalex-snapshot
Parallel Insertion and Indexing Method for Large Amount of Spatiotemporal Data Using Dynamic Multilevel Grid Technique
inferred← citeshttps://doi.org/10.3390/ijgi7090371openalex-snapshot
An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization
inferred← citeshttps://doi.org/10.3390/info9050116openalex-snapshot
Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBase
inferred← citeshttps://doi.org/10.3837/tiis.2021.04.008openalex-snapshot
A Bio-inspired Hybrid Cross-Layer Routing Protocol for Energy Preservation in WSN-Assisted IoT
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-3-w12-2020-255-2020openalex-snapshot
PAIRS (RE)LOADED: SYSTEM DESIGN & BENCHMARKING FOR SCALABLE GEOSPATIAL APPLICATIONS
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