Guide for Evaluating Data Acquisition Systems Used in Cyclic Fatigue and Fracture Mechanics Testing

2018 ◽  
Author(s):  
Keyword(s):  
Fracture Mechanics ◽  
Data Acquisition ◽  
Cyclic Fatigue ◽  
Data Acquisition Systems ◽  
Fatigue And Fracture

Using computer clusters for processing spatial-temporal data streams in data acquisition systems

2018 ◽  
Vol 935 (5) ◽  
pp. 54-63
Author(s):  
A.A. Maiorov ◽  
A.V. Materuhin ◽  
I.N. Kondaurov
Keyword(s):  
Data Acquisition ◽  
Data Streams ◽  
Spatial Data ◽  
High Performance ◽  
Temporal Data ◽  
Cyberphysical Systems ◽  
Software Environment ◽  
Computer Clusters ◽  
Data Acquisition Systems ◽  
Essential Components

Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

A Generic Streaming Software Platform Design for High-energy Physics Data Acquisition Systems

2021 ◽  
pp. 1-1
Author(s):  
Tianxing Wang ◽  
Junfeng Yang ◽  
Hongchao Wang ◽  
Hongwei Yu ◽  
Zhengyang Sun ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Energy Physics ◽  
High Energy ◽  
Software Platform ◽  
Platform Design ◽  
Data Acquisition Systems ◽  
Energy Physics
Sign in / Sign up

Export Citation Format

Share Document