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Planning System Architecture of Fat-client Management for Customized Healthcare Services in Edge Computing Environment

Published: 06 June 2020 Publication History

Abstract

To provide customized healthcare services in edge computing environment, it is necessary to process perspectives related to delivering context information such as procedures of data collection and analysis in various data formats. It is required to have a fat-client concept that performs, data preprocessing and converting data formats where generated data sets have different structure. Furthermore, the fat-client concept has advantages of covering data acquisitions and job allocations in edge computing environment. Once data sets are collected, then users can have healthcare reports, analyzed in a different level. When dealing with procedures of analysis, their models are necessary because data sets have different formats and ranges, moreover models will be required for user customizing it by adjustment the data sets being collected. This paper proposes a method for managing fat-client to provide customized healthcare services in edge computing environment. The proposed method, provides a fat-client profile for managing each fat-client user. The fat-client profile includes information such as sequences of data sources and analysis methods. In the experiment, the fat-client management is demonstrated through data collection and monitoring of instances created by the Fat-Client profile.

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Cited By

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  • (2024)A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research DirectionsTsinghua Science and Technology10.26599/TST.2023.901008029:4(1152-1180)Online publication date: Aug-2024

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  1. Planning System Architecture of Fat-client Management for Customized Healthcare Services in Edge Computing Environment

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      ICIIT '20: Proceedings of the 2020 5th International Conference on Intelligent Information Technology
      February 2020
      163 pages
      ISBN:9781450376594
      DOI:10.1145/3385209
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 06 June 2020

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      Author Tags

      1. Customized healthcare service
      2. Edge computing
      3. Fat-Client
      4. Management

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      • National Research Foundation of Korea(NRF)

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      • (2024)A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research DirectionsTsinghua Science and Technology10.26599/TST.2023.901008029:4(1152-1180)Online publication date: Aug-2024

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