Design of Context-aware Resource Management for Healthcare IoT
AUTHORS
Siwoo Byun,Anyang University, Kyoungkido, South Korea
ABSTRACT
Edge computing is emerging as a technology that complements cloud computing in an IoT environment where huge amounts of data are generated in real time. This paper introduces recent IoT network and edge computing technology and describes healthcare IoT network and related edge technologies. This paper also proposes efficient resource management called CaRM to ensure stable data services for sensor nodes and edge gateways in the edge-based IoT environment. In CaRM, the context-aware classification and dynamic resource management are devised to improve the stability and performance for healthcare IoT service. Based on the context-aware classification, the sensor-level resource tree and application-level resource tree are generated. After creating a service-context tree that incorporates these two trees, CaRM controls the permitted range of individual resource consumption at each service level to guarantee ensure service.
KEYWORDS
Internet of things, Healthcare service, Context-aware classification
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