BOOK-CHAPTER

Fog Computing for Next-Generation Healthcare

Abstract

Fog computing enhances data processing by improving patient care and acts as a bridge between cloud computing and Internet of Things (IoT) devices in the healthcare domain. The objective is to handle data with low-latency, as it is essential to respond quickly in various services like medical emergency. The limitations of traditional cloud architectures are responsible for delays that distance and network congestion can provoke to cause a great risk of patient injury and service quality deterioration, serving as an impetus for integrating fog computing in health care systems. Fog computing reduces latency and minimizes the chance of data loss during transmission by processing data closer to the source at the network's edge and have significant positive effect on healthcare, such as faster reaction times, less strain on centralized data centers, and better use of available resources. Fog computing will further mitigate needless exposure of data to outside actors during its transport and thus solve some of patients' privacy concerns concerning their clinical records.

Keywords:
Health care Computer science Political science

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Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
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