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Towards Edge Benchmarking: A Methodology for Characterizing Edge Workloads
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska fakulteten. (Real-time Systems Laboratory)ORCID-id: 0000-0002-7300-3603
University of Würzburg; Germany.
Vienna University of Technology, Austria.
Vienna University of Technology, Austria.
Vise andre og tillknytning
2019 (engelsk)Inngår i: In Proceedings of 4th International Workshop on Foundations and Applications of Self* Systems (FAS*W),, IEEE, 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The edge computing paradigm has recently attracted research efforts coming from different application domains. However, evaluating an edge platform or algorithm is impeded by the lack of suitable benchmarks. We propose a methodology for characterizing edge workloads from different application domains. It is a first step towards defining workloads to be included in a future edge benchmarking suite. We evaluate the methodology on three use cases and find that defining a common and standard set of workloads is plausible.

sted, utgiver, år, opplag, sider
IEEE, 2019.
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-161760DOI: 10.1109/FAS-W.2019.00030Scopus ID: 2-s2.0-85071474510OAI: oai:DiVA.org:liu-161760DiVA, id: diva2:1368920
Konferanse
4th International Workshop on Foundations and Applications of Self* Systems (FAS*W), Umea, Sweden, 16-20 June 2019
Tilgjengelig fra: 2019-11-08 Laget: 2019-11-08 Sist oppdatert: 2019-11-18bibliografisk kontrollert

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