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

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.