(DEMO) EDICT: A simulation tool for performance metrics datasets in IoT environments - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

(DEMO) EDICT: A simulation tool for performance metrics datasets in IoT environments

Ajay Kattepur

Résumé

This paper demonstrates EDICT, a simulation tool for performance metrics datasets in IoT environments. Such environments are represented using the NGSI-LD data model. EDICT uses NGSI-LD instances and Open Queueing Networks for the composition of a concrete QoS model that is then simulated to generate a performance metrics dataset. This dataset captures performance metrics of Edge interactions such as response time and throughput. We demonstrate the utility of EDICT by showing how a perfomance metrics dataset can be generated for a specific IoT environment.
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hal-04125135 , version 1 (12-06-2023)

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Houssam Hajj Hassan, Georgios Bouloukakis, Denis Conan, Ajay Kattepur, Mahdi Trabolsi, et al.. (DEMO) EDICT: A simulation tool for performance metrics datasets in IoT environments. 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Jun 2023, Pafos, Cyprus. ⟨10.1109/DCOSS-IoT58021.2023.00020⟩. ⟨hal-04125135⟩
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