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A survey on spatio-temporal data analytics systems
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 …
and applications, and the importance of extracted knowledge from spatio-temporal data to …
Geospark: A cluster computing framework for processing large-scale spatial data
This paper introduces GeoSpark an in-memory cluster computing framework for processing
large-scale spatial data. GeoSpark consists of three layers: Apache Spark Layer, Spatial …
large-scale spatial data. GeoSpark consists of three layers: Apache Spark Layer, Spatial …
Big spatial vector data management: a review
Spatial vector data with high-precision and wide-coverage has exploded globally, such as
land cover, social media, and other data-sets, which provides a good opportunity to enhance …
land cover, social media, and other data-sets, which provides a good opportunity to enhance …
BSMD: A blockchain-based secure storage mechanism for big spatio-temporal data
Y Ren, D Huang, W Wang, X Yu - Future Generation Computer Systems, 2023 - Elsevier
As more and more mobile devices and IoT terminals are connected to the Internet, a huge
amount of spatio-temporal data is generated. In order to cope with the pressure of storing …
amount of spatio-temporal data is generated. In order to cope with the pressure of storing …
[PDF][PDF] 大数据管理: 概念, 技术与挑战
孟小峰， 慈祥 - 2013 - idke.ruc.edu.cn
大数据管理:概念,技术与挑战 Page 1 大数据管理:概念,技术与挑战 孟小峰慈祥 (**人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …
Locationspark: A distributed in-memory data management system for big spatial data
We present LocationSpark, a spatial data processing system built on top of Apache Spark, a
widely used distributed data processing system. LocationSpark offers a rich set of spatial …
widely used distributed data processing system. LocationSpark offers a rich set of spatial …
Evaluating the scalability of distributed systems
Many distributed systems must be scalable, meaning that they must be economically
deployable in a wide range of sizes and configurations. This paper presents a scalability …
deployable in a wide range of sizes and configurations. This paper presents a scalability …
Just: Jd urban spatio-temporal data engine
With the prevalence of positioning techniques, a prodigious number of spatio-temporal data
is generated constantly. To effectively support sophisticated urban applications, eg, location …
is generated constantly. To effectively support sophisticated urban applications, eg, location …
A survey on spatio-temporal big data analytics ecosystem: Resource management, processing platform, and applications
With the rapid evolution of the Internet, Internet of Things (IoT), and geographic information
systems (GIS), spatio-temporal Big Data (STBD) is experiencing exponential growth …
systems (GIS), spatio-temporal Big Data (STBD) is experiencing exponential growth …
Towards designing and learning piecewise space-filling curves
To index multi-dimensional data, space-filling curves (SFCs) have been used to map the
data to one dimension, and then a one-dimensional indexing method such as the B-tree is …
data to one dimension, and then a one-dimensional indexing method such as the B-tree is …