Logo des Repositoriums
 

Performance comparison of TwinCat ADS for Python and Java

dc.contributor.authorWeber, Alexander
dc.contributor.authorEichelberger, Holger
dc.contributor.authorSchreiber, Per
dc.contributor.authorWienrich, Svenja
dc.contributor.editorHerrmann, Andrea
dc.date.accessioned2023-11-30T08:32:47Z
dc.date.available2023-11-30T08:32:47Z
dc.date.issued2023
dc.description.abstractReal-time and in-process measurements are important in the manufacturing domain, e.g., for real-time process monitoring. For performance reasons, such data is often processed in virtualized environments on edge devices, as e.g., provided by the company Beckhoff. For exploring modern AI methods, integration with high-level languages such as Python or even with Industry 4.0 platforms for advanced data flows is needed. In this paper, we analyze the read/write perfor mance of a Beckhoff device integrated via Python or Java. For our experiments, we use a simulation on a PC as well as a networked setup with a Beckhoff device. We show that the Java-based solution is faster than the Python one by 2-3 times. We also show that small arrays can be read as fast as a single value, that there is no difference between operations for small or big data types and that there is no difference between reading and writing data.en
dc.identifier.issn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43230
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 43, Heft 4
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectSPP
dc.subjectmanufacturing domain
dc.subjectmeasurement
dc.subjectreal-time
dc.subjectPython
dc.subjectJava
dc.subjectsimulation
dc.titlePerformance comparison of TwinCat ADS for Python and Javaen
dc.typeText/Conference Paper
mci.conference.date6-8 November 2023
mci.conference.locationKarlsruhe, Germany
mci.conference.sessiontitle14th Symposium on Software Performance 2023
mci.reference.pages35-37

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
SSP23_CR_11.pdf
Größe:
183.74 KB
Format:
Adobe Portable Document Format