Abstract
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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Acknowledgment
This research was supported in part by Korean government, under G-ITRC support program (IITP-2016-R6812-16-0001) supervised by the IITP, Priority Research Centers Program (NRF-2010-0020210) and Basic Science Research Program (NRF-2016R1D1A 1B03934660) through NRF, respectively.
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Dang, TB., Tran, MH., Le, DT., Choo, H. (2017). On Evaluating IoTivity Cloud Platform. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_10
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DOI: https://doi.org/10.1007/978-3-319-62404-4_10
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