Paper Info
Title
The Internet Of Things For Healthcare: Optimising E-Health System Availability In The Fog And Cloud
Abstract
E-health systems can be used to monitor people in real-time, offering a range of multimedia-based health services, at the same time reducing the cost since cheaper devices can be used to compose it. However, any downtime, mainly in the case of critical health services, can result in patient health problems and in the worst case, loss of life. In this paper, we use an interdisciplinary approach combining stochastic models with optimisation algorithms to analyse how failures impact e-health monitoring system availability. We propose surrogate models to estimate the availability of e-health monitoring systems that rely on edge, fog, and cloud infrastructures. Then, we apply a multi-objective optimisation algorithm, NSGA-II, to improve system availability considering component costs as constraint. Results suggest that replacing components with more reliable ones is more effective in improving the availability of an e-health monitoring system than adding more redundant components.
Year
DOI
Venue
2020
10.1504/IJCSE.2020.106873
INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING
Keywords
DocType
Volume
availability, cloud computing, edge computing, e-health systems, healthcare, fog computing, internet of things, IoT, optimisation algorithms, stochastic models, surrogate models
Journal
21
Issue
ISSN
Citations 
4
1742-7185
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Guto Leoni Santos1128.85
Demis Gomes221.71
Judith Kelner36216.65
Djamel Sadok437157.81
Francisco Airton Silva500.34
Patricia Endo612125.32
Theo Lynn711622.40