<div class="csl-bib-body">
<div class="csl-entry">Tocze, K., Schmitt, N., Kargén, U., Aral, A., & Brandic, I. (2022). Edge Workload Trace Gathering and Analysis for Benchmarking. In <i>2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)</i> (pp. 34–41). IEEE. https://doi.org/10.1109/ICFEC54809.2022.00012</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/150274
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dc.description.abstract
The emerging field of edge computing is suffering from a lack of representative data to evaluate rapidly introduced new algorithms or techniques. That is a critical issue as this complex paradigm has numerous different use cases which translate into a highly diverse set of workload types.In this work, within the context of the edge computing activity of SPEC RG Cloud, we continue working towards an edge benchmark by defining high-level workload classes as well as collecting and analyzing traces for three real-world edge applications, which, according to the existing literature, are the representatives of those classes. Moreover, we propose a practical and generic methodology for workload definition and gathering. The traces and gathering tool are provided open-source.In the analysis of the collected workloads, we detect discrepancies between the literature and the traces obtained, thus highlighting the need for a continuing effort into gathering and providing data from real applications, which can be done using the proposed trace gathering methodology. Additionally, we discuss various insights and future directions that rise to the surface through our analysis.
en
dc.description.sponsorship
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.description.sponsorship
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
Edge/fog benchmarking
en
dc.subject
Edge/fog workloads
en
dc.subject
Open-source
en
dc.subject
Trace gathering
en
dc.title
Edge Workload Trace Gathering and Analysis for Benchmarking
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Linköping University, Sweden
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dc.contributor.affiliation
University of Würzburg, Germany
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dc.contributor.affiliation
Linköping University, Sweden
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dc.contributor.affiliation
University of Vienna, Austria
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dc.relation.isbn
978-1-6654-9524-0
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dc.description.startpage
34
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dc.description.endpage
41
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dc.relation.grantno
Y 904-N31
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dc.relation.grantno
I 5201-N
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)
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tuw.peerreviewed
true
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tuw.relation.publisher
IEEE
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tuw.project.title
Laufzeitkontrolle in Multi-Clouds
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tuw.project.title
Nachhaltige Wasserwirtschaft durch IoT-gesteuerte KI
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tuw.researchTopic.id
I4a
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
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tuw.publisher.doi
10.1109/ICFEC54809.2022.00012
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dc.description.numberOfPages
8
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tuw.author.orcid
0000-0002-3009-4314
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tuw.event.name
2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)
en
tuw.event.startdate
18-05-2022
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tuw.event.enddate
19-05-2022
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Taormina (Messina)
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tuw.event.country
IT
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tuw.event.presenter
Tocze, Klervie
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wb.sciencebranch
Informatik
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
5020
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wb.sciencebranch.value
90
-
wb.sciencebranch.value
10
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.grantfulltext
none
-
item.languageiso639-1
en
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item.openairetype
conference paper
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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crisitem.author.dept
Linköping University
-
crisitem.author.dept
University of Würzburg
-
crisitem.author.dept
Linköping University
-
crisitem.author.dept
E194-04 - Forschungsbereich E-Commerce
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crisitem.author.dept
E194-04 - Forschungsbereich E-Commerce
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crisitem.author.orcid
0000-0002-3009-4314
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crisitem.author.orcid
0009-0007-0661-5937
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering