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Multi-step processing of spatial joins
1994
Proceedings of the 1994 ACM SIGMOD international conference on Management of data - SIGMOD '94
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The results show that our approach reduces the total execution time of the spatial join by factors. ...
First, a spatial join is performed on the minimum bounding rectangles of the objects returning a set of candidates. ...
Our results showed that the MBR-join does not much affect the total execution time of the spatial join. ...
doi:10.1145/191839.191880
dblp:conf/sigmod/BrinkhoffKSS94
fatcat:a3s6yrwtf5f35ddoh4prvui2ya
Multi-step processing of spatial joins
1994
SIGMOD record
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The results show that our approach reduces the total execution time of the spatial join by factors. ...
First, a spatial join is performed on the minimum bounding rectangles of the objects returning a set of candidates. ...
Our results showed that the MBR-join does not much affect the total execution time of the spatial join. ...
doi:10.1145/191843.191880
fatcat:5lfnwft355budo5cvmlwai6wxm
The impact of spatial data redundancy on SOLAP query performance
2009
Journal of the Brazilian Computer Society
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We also investigate the impact of the increase in data volume on the performance. ...
However, little effort has been focused on studying how spatial data redundancy affects SOLAP (Spatial On-Line Analytical Processing) query performance over GDW. ...
The authors also thank the support of the Web-PIDE Project in the context of the Observatory of the Education of the Brazilian Government. ...
doi:10.1590/s0104-65002009000200003
fatcat:mfqxicoe5jevrma7qwv63pexiq
The impact of spatial data redundancy on SOLAP query performance
2009
Journal of the Brazilian Computer Society
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We also investigate the impact of the increase in data volume on the performance. ...
However, little effort has been focused on studying how spatial data redundancy affects SOLAP (Spatial On-Line Analytical Processing) query performance over GDW. ...
The authors also thank the support of the Web-PIDE Project in the context of the Observatory of the Education of the Brazilian Government. ...
doi:10.1007/bf03194499
fatcat:4kct6vsnu5djhfeixqkbckr5m4
Real-Time Spatial Queries for Moving Objects Using Storm Topology
2016
ISPRS International Journal of Geo-Information
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Finally, a series of experiments are presented to explore the factors that affect the performance of the distributed index and to demonstrate the feasibility of the proposed distributed index based on ...
Using this approach, we compare the range and K-nearest neighbor (KNN) query efficiency of four spatial indexes on a single dataset and introduce a method of performing spatial joins between two moving ...
, worked on aspects of the experiment evaluation, and drafted the manuscript; Renyi Liu edited the manuscript; and Xinyue Ye improved the conceptual framework and updated the manuscript. ...
doi:10.3390/ijgi5100178
fatcat:jzlxahk3pbbw7kvudw3fpfvnjy
Investigations with Mode Division Multiplexed Transmission
2014
Electrical and Electronics Engineering An International Journal
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Transmission performance has been investigated for numerous modes, bit rates (2.5 to 10Gbps), transmission lengths of MMF (1 to 100km) and attenuation factor in conjunction with parabolic operational mode ...
It further inferred that transmission with large number of multiplexed modes result in degraded performance, augmented with minimization of mode coupling losses. ...
Acknowledgement Thanks to J.K.Institute Allahabad (University of Allahabad) for providing the software OptSim(R-Soft) optical communication system. ...
doi:10.14810/elelij.2014.3304
fatcat:oeb2iokxorcplpfjsxs4kvbs74
Comparative Analysis of Spark and Ignite for Big Spatial Data Processing
2021
International Journal of Advanced Computer Science and Applications
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We thoroughly investigated and discovered that multiple factors affect the performance of both frameworks, such as CPU, Main memory, data set size the complexity of data type, and programming environment ...
Recently, spatial data became one of the most interesting fields related to big data studies, in which the spatial data have been generated and consumed from different resources. ...
However, multiple factors affected the performance of Geospark on Apache spark, such as machine performance (CPU, and memory), dataset size and type, programming environment (such as using spark-shell ...
doi:10.14569/ijacsa.2021.0120980
fatcat:kvuybb2kafb6tcl7sla4tmbtdu
Approximations for a multi-step processing of spatial joins
[chapter]
1994
Lecture Notes in Computer Science
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The basic concept for processing spatial joins consists of two steps: First, the spatial join is performed on the minimum bounding rectangles of the objects by using a spatial access method. ...
The results show that this approach considerably reduces the total execution time of the spatial join. ...
Our basic idea for efficient spatial join processing is to perform the join in several steps: In the first step, an MBR-join is performed. ...
doi:10.1007/3-540-58795-0_31
fatcat:tleh5pdcujc6vhlfpgpi4tih6y
What Makes Spatial Data Big? A Discussion on How to Partition Spatial Data
2018
International Conference Geographic Information Science
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This paper extensively analyses the problem considering the spatial join operation as use case, performing both a theoretical and an experimental analysis for it. ...
However, spatial data are characterized by other features which describe their dimension, such as the number of vertices or the MBR size of geometries, which greatly affect the performance of operations ...
This work has been supported by "Progetto di Eccellenza" of the Computer Science Dept., University of Verona, Italy. ...
doi:10.4230/lipics.giscience.2018.2
dblp:conf/giscience/BelussiCMNP18
fatcat:6hpoqzyxojetldkel65yk3yrsu
An Effective High-Performance Multiway Spatial Join Algorithm with Spark
2017
ISPRS International Journal of Geo-Information
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In this paper, we investigate the issue of paralleling multiway spatial join on the Spark framework [28] . ...
Many pairwise spatial join approaches [5, 6, 26] have been implemented on the MapReduce platform. However, few studies have investigated the processing of multiway spatial joins in parallel. ...
All authors have read and approved the final manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi6040096
fatcat:lasc3tj4inc7thxdgelt3ae6yi
IRSJ: incremental refining spatial joins for interactive queries in GIS
2009
Geoinformatica
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In this paper, we propose a new interactive spatial query processing technique for GIS. We present a family of the ...
An increasing number of emerging web database applications deal with large georeferenced data sets. ...
The following people provided helpful suggestions during early stages of this work: Dr. Sada Narayanappa, Brandon Haenlein, and Mohammed Albow. Help in statistics was graciously provided by Dr. ...
doi:10.1007/s10707-009-0089-0
fatcat:c7edtyxervfill757ls67pd3ay
A New Design of High-Performance Large-Scale GIS Computing at a Finer Spatial Granularity: A Case Study of Spatial Join with Spark for Sustainability
2016
Sustainability
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The dramatic growth of data volumes has led to increased focus on high-performance large-scale spatial join. ...
Based on extensive experiments with real-world data, we conclude that SJS outperforms the Spark and MapReduce implementations of earlier spatial join approaches. ...
Zhenhong Du was involved in data acquisition and analysis, worked on aspects of the experiment evaluation and drafted the manuscript. ...
doi:10.3390/su8090926
fatcat:nqmv42sfeja7xkem2wmz4lvjhu
Benchmarking Spatial Data Warehouses
[chapter]
2010
Lecture Notes in Computer Science
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Mainly, three operations are related to SDW query processing performance: (i) joining large fact tables and large spatial and non-spatial dimension tables; (ii) computing one or more costly spatial predicates ...
Mainly, three operations are related to SDW query processing performance: (i) joining large fact tables and large spatial and non-spatial dimension tables; (ii) computing one or more costly spatial predicates ...
This work has been supported by the following Brazilian ...
doi:10.1007/978-3-642-15105-7_4
fatcat:qkkaesenhfa2jgqvuqt7jrqxxi
Large-scale spatial join query processing in Cloud
2015
2015 31st IEEE International Conference on Data Engineering Workshops
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The rapidly increasing amount of location data available in many applications has made it desirable to process their large-scale spatial queries in Cloud for performance and scalability. ...
We report our designs and implementations of two prototype systems that are ready for Cloud deployments: ...
Further investigations suggest that the performance difference is largely due to two factors. ...
doi:10.1109/icdew.2015.7129541
dblp:conf/icde/YouZG15
fatcat:kst5kagb6bgwtjewwrccaoxmqm
Design and Implementation of Falling Star - A Non-Redudant Spatio-Multidimensional Logical Model for Document Stores
2017
Proceedings of the 19th International Conference on Enterprise Information Systems
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In the context of Spatial Big Data, some NoSQL spatial DBMSs have been developed to deal with the Spatiality, Velocity, Variety, and Volume of Spatial Big Data. ...
Finally, we present an implementation in document Spatial DBMSs. ...
Therefore, we can conclude that the spatial data redundancy is the main factor of the huge size of the SDW in the MLD0 model. ...
doi:10.5220/0006353803430350
dblp:conf/iceis/FerrahiBKB17
fatcat:b7u5y2r6tbaejboias227hg2tq
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