Proactive Personalized Services In Large-Scale Iot-Based Healthcare Application
2017 IEEE 24TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2017)(2017)
摘要
With the IoT technology increasing and aging social have coming, personalized service assisted elder and patient living is a critical application in IoT-Based Healthcare application. However, the scale and complexity of personalized service is increasing with wildly applied to our life, which cause response time increase and resource waste in large-scale IoT-Based Healthcare application. Therefore, it is necessary of studying on dealing with the large-scale and complexity of personalized services in large-scale IoT-Based Healthcare application. In this paper, we propose proactive personalized service leveraging Complex Event Processing ( CEP) to deal with a large number and complexity of personalized services. Firstly, personalized service defined as complex event pattern that expresses in the form of Directed Acyclic Graph ( DAG). Secondly, we propose a complex event pattern partitioning and clustering algorithms to optimize the processing of dealing with personalized services. Finally, we realize a prototype system based on proposed approach named BCEPCare. Experiment result shows that BCEPCare is superior to the traditional ESPER in large-scale IoT-Based healthcare application.
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关键词
complex event pattern, personalized services, partitioning, clustering, IoT-Based Healthcare Application
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