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.
Top- Toczé, Klervie
- Schmitt, Norbert
- Brandic, Ivona
- Aral, Atakan
- Nadjm-Tehrani, Simin
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 |
Export |