Dataset for Atmosphere: Context and Situational-Aware Collaborative IoT Architecture for Edge-Fog-Cloud Computing

Published: 16 June 2021| Version 1 | DOI: 10.17632/mxtwc6vb8w.1
Contributors:
,
,
,
, Juan Boubeta-Puig

Description

This dataset provides the event patterns for the case study of respiratory disease surveillance in hospitals proposed in the paper "Atmosphere: Context and Situational-Aware Collaborative IoT Architecture for Edge-Fog-Cloud Computing". These patterns were graphically modeled and automatically implemented through the MEdit4CEP tool (https://ucase.uca.es/medit4cep/). Additionally, it provides the results obtained during the performance evaluation.

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Institutions

Universite Mohamed Khider de Biskra, Universidad de Cadiz

Categories

Cloud Computing, Software Agent, Big Data, Internet of Things, Fog Computing

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