Abstract
platforms, and connecting this information to various use case applications. Key objectives for the concept include dynamic orchestration of information flows and flexible configuration where computational functions are executed, support for different data sources and hardware, and utilization of computational resources on all levels from edge to cloud. The system application
architecture designed is considered for two application domains within the Industry 4.0 paradigm.
| Original language | English |
|---|---|
| Title of host publication | IEEE Sensors 2019 |
| Place of Publication | Montreal |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Number of pages | 4 |
| Publication status | Accepted/In press - 30 Oct 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE Sensors 2019 - Montreal, Canada Duration: 27 Oct 2019 → 30 Oct 2019 |
Conference
| Conference | IEEE Sensors 2019 |
|---|---|
| Country | Canada |
| City | Montreal |
| Period | 27/10/19 → 30/10/19 |
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Keywords
- measurement system
- data analytics
- cyber-physical systems
- dynamic orchestration
- system architecture
- system requirements
- edge computing
- arrowhead framework
Cite this
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Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. / Hästbacka, David (Corresponding author); Halme, Jari; Larranaga, Martin; More, Rupesh; Mesiä, Heikki; Björkbom, Mikael; Barna, Laurentiu; Pettinen, Henri; Elo, Marko; Jaatinen, Antti; Hoikka, Henrikki.
IEEE Sensors 2019. Montreal : IEEE Institute of Electrical and Electronic Engineers , 2019. 1769.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture
AU - Hästbacka, David
AU - Halme, Jari
AU - Larranaga, Martin
AU - More, Rupesh
AU - Mesiä, Heikki
AU - Björkbom, Mikael
AU - Barna, Laurentiu
AU - Pettinen, Henri
AU - Elo, Marko
AU - Jaatinen, Antti
AU - Hoikka, Henrikki
PY - 2019/10/30
Y1 - 2019/10/30
N2 - The introduction of new sensors and affordable measurement devices increases the amount of data used in cyber-physical systems and various sensing applications. These systems often grow extensive encompassing not only different kinds of data sources and sensors but also different kinds of use cases for the data. This paper presents a sensor system application architecture outlining the requirements on software and interfaces for connecting different kinds of measurement devices, executing computational functions on various hardwareplatforms, and connecting this information to various use case applications. Key objectives for the concept include dynamic orchestration of information flows and flexible configuration where computational functions are executed, support for different data sources and hardware, and utilization of computational resources on all levels from edge to cloud. The system applicationarchitecture designed is considered for two application domains within the Industry 4.0 paradigm.
AB - The introduction of new sensors and affordable measurement devices increases the amount of data used in cyber-physical systems and various sensing applications. These systems often grow extensive encompassing not only different kinds of data sources and sensors but also different kinds of use cases for the data. This paper presents a sensor system application architecture outlining the requirements on software and interfaces for connecting different kinds of measurement devices, executing computational functions on various hardwareplatforms, and connecting this information to various use case applications. Key objectives for the concept include dynamic orchestration of information flows and flexible configuration where computational functions are executed, support for different data sources and hardware, and utilization of computational resources on all levels from edge to cloud. The system applicationarchitecture designed is considered for two application domains within the Industry 4.0 paradigm.
KW - measurement system
KW - data analytics
KW - cyber-physical systems
KW - dynamic orchestration
KW - system architecture
KW - system requirements
KW - edge computing
KW - arrowhead framework
M3 - Conference article in proceedings
BT - IEEE Sensors 2019
PB - IEEE Institute of Electrical and Electronic Engineers
CY - Montreal
ER -