Journal
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT V
Volume 10408, Issue -, Pages 137-147Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-62404-4_10
Keywords
Internet of Things; Monitoring platform; Publish-subscribe pattern; Message queue; Performance evaluation
Funding
- Korean government under G-ITRC support program [IITP-2016-R6812-16-0001]
- Priority Research Centers Program through NRF [NRF-2010-0020210]
- Basic Science Research Program through NRF [NRF-2016R1D1A 1B03934660]
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Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.
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