Infrastructure de Services Cloud FaaS sur noeuds IoT

TL;DR

This paper presents PyCloudIoT, a FaaS cloud infrastructure leveraging IoT nodes' unused resources at the network edge to perform numerical computations efficiently with minimal energy consumption.

Contribution

Introduction of PyCloudIoT, a novel FaaS cloud model that utilizes resource-constrained IoT nodes at the network edge for offloading numerical computations.

Findings

Reduces latency by exploiting edge IoT resources.

Maintains low energy consumption on battery-powered IoT nodes.

Demonstrates feasibility of edge-based FaaS for numerical tasks.

Abstract

In this article, we describe the PyCloudIoT cloud infrastructure. PyCloudIoT uses a FaaS cloud computing model for offloading numerical computations on a cluster with resource-constrained nodes rather than powerful datacenter. This infrastructure aims at exploiting unused resources of IoT nodes - already deployed at the edge of the network - to reduce latency of user requests. This extra computation must be done without significant energy consumption - IoT nodes being battery-powered. -- Dans cet article, nous d\'ecrivons l'infrastructure cloud PyCloudIoT. PyCloudIoT s'appuie sur un mod\`ele de cloud computing FaaS pour du calcul num\'erique d\'eport\'e vers une ferme de calcul compos\'ee de noeuds \`a capacit\'es restreintes au lieu d'un datacentre puissant. Cette infrastructure vise \`a tirer profit des ressources inutilis\'ees d\'eploy\'ees sur n{\oe}uds IoT sans augmenter significativement leur consommation d'\'energie et, en m\^eme temps, \`a rapprocher ces ressources des utilisateurs pour r\'eduire la latence, en d\'eveloppant un mod\`ele cloud en bord de r\'eseau.