Enhancing the Processing of Healthcare Data Streams using Fog Computing

Elarbi Badidi, Karima Moumane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Healthcare data streams originate from various sensors and Internet of Things (IoT) devices deployed in medical equipment and healthcare facilities as well as worn by patients. These vast volumes of data need to be leveraged to improve patient care, optimize processes, and help health sector stakeholders and applications make faster and more informed decisions. Many healthcare applications use the power of the cloud for data processing. However, time-sensitive healthcare applications cannot tolerate sending data streams to the cloud for processing due to unacceptable high latency and network bandwidth requirements. Healthcare facilities and caregivers need the ability to efficiently stream data and process data streams in real-time at the edge. This paper describes a five-tier architecture that aims to deal with the streaming and processing of data generated by the various devices and equipment of healthcare facilities and systems to enable the creation of smart healthcare applications. The architecture is based on emerging and established technologies, including IoT, edge/fog computing, data integration techniques, cloud computing, and data analytics. The proposed architecture will facilitate the creation of healthcare applications for real-time event detection, notification of alerts, and building monitoring dashboards. Fog node components include an advanced and widely recognized distributed messaging system, Apache Kafka, and the popular stream processing engine, Apache Storm, capable of processing large amounts of data.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computers and Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129990
DOIs
Publication statusPublished - Jun 2019
Event2019 IEEE Symposium on Computers and Communications, ISCC 2019 - Barcelona, Spain
Duration: Jun 29 2019Jul 3 2019

Publication series

NameProceedings - IEEE Symposium on Computers and Communications
Volume2019-June
ISSN (Print)1530-1346

Conference

Conference2019 IEEE Symposium on Computers and Communications, ISCC 2019
Country/TerritorySpain
CityBarcelona
Period6/29/197/3/19

Keywords

  • IoT
  • IoT gateway
  • data analytics
  • data streams processing
  • edge computing
  • fog computing

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • General Mathematics
  • Computer Science Applications
  • Computer Networks and Communications

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