Towards edge benchmarking: A methodology for characterizing edge workloads

Towards edge benchmarking: A methodology for characterizing edge workloads

Abstract

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.

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Authors
  • Toczé, Klervie
  • Schmitt, Norbert
  • Brandic, Ivona
  • Aral, Atakan
  • Nadjm-Tehrani, Simin
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)
Divisions
Scientific Computing
Subjects
Programmierung Allgemeines
Parallele Datenverarbeitung
Rechnerarchitektur
Event Location
Umea, Sweden
Event Type
Workshop
Event Dates
16-20 Jun 2019
Series Name
2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)
Page Range
pp. 70-71
Date
June 2019
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