Communication Dans Un Congrès Année : 2026

LivingBench: an IoT/Edge Platform Benchmark Based on an Environmental Observation Use-Case

Résumé

In recent years, a number of edge computing platforms have been proposed to process data produced by IoT sensors. Performing computation close to the sources of data allows faster insight and greater reliability at a lower cost compared to traditional cloud-based deployments. However, designers of IoT/edge platforms face difficult issues. In particular, exercising and testing a new platform in conditions that approach a real deployment requires a sufficient number of standard benchmarking systems capable of generating realistic workloads. In this paper, we propose LivingBench, a benchmarking tool with the capability of incorporating real or synthetic workload injection, developed to exercise edge computing systems. LivingBench integrates a real-world data trace captured in an environmental observatory, together with a collection of actual applications designed for processing these data, and a load injector tool capable of replaying a (possibly pre-processed) trace to benchmark an MQTT-based edge system. We describe the architecture of LivingBench and show how it may be used to evaluate the maximum data processing capacity of an edge system under test.

Fichier principal
Vignette du fichier
main.pdf (389.01 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-05454254 , version 1 (12-01-2026)
hal-05454254 , version 2 (13-01-2026)

Licence

Identifiants

  • HAL Id : hal-05454254 , version 2

Citer

Haraesh Jr, Ammar Kazem, Matthieu Nicolas, François Lemercier, Guillaume Pierre, et al.. LivingBench: an IoT/Edge Platform Benchmark Based on an Environmental Observation Use-Case. ICIN 2026 - 29th Conference on Innovation in Clouds, Internet and Networks, Mar 2026, Athens, Greece. ⟨hal-05454254v2⟩
0 Consultations
0 Téléchargements

Partager

  • More