Towards Edge Benchmarking: A Methodology for Characterizing Edge Workloads
Klervie Toczé, Norbert Schmitt, Ivona Brandić, Atakan Aral, Simin Nadjm‐Tehrani · 2019
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.