Energy Packet Networks with general service time distribution

Mahjoub, Youssef Ait El; Fourneau, Jean-Michel; Castel-Taleb, Hind

doi:10.1109/mascots50786.2020.9285965

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EDICT can be extended to provide a wider range of metrics that give IoT developers insights into the performance of their system. For example, the energy consumption of data flows can be measure using Energy Packet Networks [35].…”

Section: Edict's Extensibilitymentioning

confidence: 99%

EDICT: Simulation of Edge Interactions Across IoT-Enhanced Environments

Hassan,

Bouloukakis,

Kattepur

et al. 2023

2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

View full text Add to dashboard Cite

This paper presents EDICT, a tool for simulating Edge interactions in IoT-enhanced environments. Recently, ML and AI-based techniques have gained prominence to solve IoTrelated challenges. However, such models require large and diverse datasets to perform well. Finding real-world datasets that capture the performance of IoT systems is a challenging task due to the cost of deploying devices and instrumenting environments, as well as privacy/security concerns. This task becomes more challenging when datasets for specific situations (e.g., overloaded system, emergency scenarios) are needed. EDICT enables IoT systems designers to evaluate the performance of their IoT systems at design time. EDICT is capable of generating performance metrics datasets for specific instances of IoT-enhanced environments under different configuration parameters. To support runtime adaptation of smart environments, EDICT enables rapid performance prediction using ML techniques.

show abstract

Section: Edict's Extensibilitymentioning

confidence: 99%