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Towards a Platform to Evaluate the Impact of Resource Information Distribution in IoT Environments

  • Paula Verghelet
  • Esteban MocskosEmail author
Conference paper
  • 9 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1087)

Abstract

Internet of Things (IoT) is a paradigm in which every object has the capacity of communicating through the Internet. Cloud Computing is designed to provide computational resources to costumers geographically distributed following an elastic payment strategy. Fog/Edge Computing aims to decrease bandwidth usage keeping the computation near the source of data and avoiding the collapse of network infrastructure when moving all the data from the edge to the cloud data centers. Fog and Cloud environments define a large scale distributed system composed of heterogeneous resources, which has huge theoretical computing power. But using these computational resources poses challenges to distributed applications and scheduling policies. In this work, we show the initial steps to develop a tool to support evaluate the impact of resource information quality to guide scheduling policies. This tool combines simulation and validation and simplifies the deployment of experiments on both sides. The evaluation of this initial proof of concept consists of the deployment of experiments with a different number of devices in a single site and in three different sites across France. Our results show that both simulation and validation platforms present good agreement.

Keywords

Resource information Internet of Things Validation 

Notes

Acknowledgments

This work is partially supported by Universidad de Buenos Aires (UBACyT 20020170100765BA), Consejo Nacional de Investigaciones Científicas y Técnicas (PIO13320150100020CO), and Agencia Nacional de Promoción de Ciencia y Técnica (PICT-2015-2761). We thank the access to FIT IoT-LAB infrastructure and their support while performing the experiments.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Departamento de Computación, Facultad de Ciencias Exactas y NaturalesUniversidad de Buenos AiresBuenos AiresArgentina
  2. 2.Centro de Simulación Computacional p/Aplic. Tecnológicas/CSC-CONICETBuenos AiresArgentina

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