• DocumentCode
    1669454
  • Title

    A Personal Healthcare System with Inference-as-a-Service

  • Author

    Hyun Jung La ; Moon Kwon Kim ; Soo Dong Kim

  • Author_Institution
    R&D Div., SmartyLab Corp., Seoul, South Korea
  • fYear
    2015
  • Firstpage
    249
  • Lastpage
    255
  • Abstract
    The cost and effort for developing personal healthcare systems with IoT devices can be substantially high mainly due to complex inference capabilities. To tackle the problems, we proposed INFerence-as-a-Service (INFaaS) in our previous work. INFaaS is a cloud service which provides a core set of common functionality required to develop various context-aware applications. Since INFaaS is designed for generic purpose, its applicability and genericity should be verified in that sense. In this paper, we present a comprehensive case study of developing an IoT-based Personal Healthcare System with the INFaaS cloud framework. This system requires various inference algorithms to diagnose diseases with the acquired medical contexts, which will increase developers´ overhead. We believe that a cloud service providing inference services such as INFaaS yields a tremendous benefits in terms of cost benefits.
  • Keywords
    Internet of Things; cloud computing; health care; medical computing; mobile computing; INFaaS cloud framework; IoT devices; cloud service; context-awareness; inference-as-a-service; personal healthcare system; Conferences; Service computing; Disease Diagnosis; Inference; Inference-as-a-Service; Personal Healthcare System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7280-0
  • Type

    conf

  • DOI
    10.1109/SCC.2015.42
  • Filename
    7207360