A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System

A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System

In healthcare, there are rapid emergency response systems that necessitate real-time actions where speed and efficiency are critical; this may suffer as a result of cloud latency because of the delay caused by the cloud. Therefore, fog computing is utilized in real-time healthcare applications. Ther...

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Bibliographic Details
Main Authors: Kholoud Alatoun, Khaled Matrouk, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Petr Zmij
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
low-latency
Cardiovascular Disease
ECG sensors
fog computing
health monitoring system
internet of medical things
Online Access:https://www.mdpi.com/1424-8220/22/14/5327

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https://www.mdpi.com/1424-8220/22/14/5327

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