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
Link To Document :
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