scholarly journals Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System

2021 ◽  
Author(s):  
Shumpei YAMASAKI ◽  
Daiki NOBAYASHI ◽  
Kazuya TSUKAMOTO ◽  
Takeshi IKENAGA ◽  
Myung J. LEE
Keyword(s):  
Control Method ◽  
Temporal Data ◽  
Data Retention ◽  
Retention System ◽  
Efficient Data ◽  
Spatio Temporal

scholarly journals Adaptive Data Transmission Control for Spatio-temporal Data Retention over Crowds of Vehicles

2021 ◽  
pp. 1-1
Author(s):  
Daiki Nobayashi ◽  
Ichiro Goto ◽  
Hiroki Teshiba ◽  
Kazuya Tsukamoto ◽  
Takeshi Ikenaga ◽  
...  
Keyword(s):  
Data Transmission ◽  
Temporal Data ◽  
Transmission Control ◽  
Data Retention ◽  
Spatio Temporal

scholarly journals MongoDB Vs PostgreSQL: A comparative study on performance aspects

2020 ◽  
Author(s):  
Antonios Makris ◽  
Konstantinos Tserpes ◽  
Giannis Spiliopoulos ◽  
Dimitrios Zissis ◽  
Dimosthenis Anagnostopoulos
Keyword(s):  
Data Storage ◽  
Response Times ◽  
Storage Systems ◽  
Industrial Applications ◽  
Temporal Data ◽  
Efficient Data ◽  
Spatio Temporal ◽  
Almost All ◽  
Application Requirements ◽  
Polygon Intersection

Abstract Several modern day problems need to deal with large amounts of spatio-temporal data. As such, in order to meet the application requirements, more and more systems are adapting to the specificities of those data. The most prominent case is perhaps the data storage systems, that have developed a large number of functionalities to efficiently support spatio-temporal data operations. This work is motivated by the question of which of those data storage systems is better suited to address the needs of industrial applications. In particular, the work conducted, set to identify the most efficient data store system in terms of response times, comparing two of the most representative of the two categories (NoSQL and relational), i.e. MongoDB and PostgreSQL. The evaluation is based upon real, business scenarios and their subsequent queries as well as their underlying infrastructures and concludes in confirming the superiority of PostgreSQL in almost all cases with the exception of the polygon intersection queries. Furthermore, the average response time is radically reduced with the use of indexes, especially in the case of MongoDB.

A Service-Oriented Spatio-Temporal Data Model of the Marine Environment

2014 ◽  
Vol 513-517 ◽  
pp. 4543-4546
Author(s):  
Zhao Li ◽  
Yong Xin Feng
Keyword(s):  
Marine Environment ◽  
Data Model ◽  
Data Organization ◽  
Temporal Data ◽  
Geography Markup Language ◽  
Organization And Management ◽  
Time Space ◽  
Efficient Data ◽  
Service Oriented ◽  
Spatio Temporal

On the basis of analyzing of the marine environment spatio-temporal data characteristics and the existing data model, proposes a conceptual model for marine environment data based on the feature and field to achieve integration of description and expression of feature, field, time, space and semantic domains. Designs and implements the service-oriented marine environment data organization and storage using Geography Markup Language (GML). Efficient data organization and management is crucial to marine environment visual services.

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