Real-Time Management and Analytics of High-Throughput IOT Device Data in Cloud Using Microsoft Teams Devices
DOI:
https://doi.org/10.22399/ijcesen.3927Keywords:
Hemodialysis , Restless legs syndrome massage, oxidative stress , ntioxidantAbstract
Massive amounts of high-throughput data have been generated as a result of the Internet of Things' (IoT) explosive growth, necessitating effective administration, real-time analytics, and smooth cooperation. The integration of cloud-based infrastructures with Microsoft Teams Devices to facilitate real-time monitoring and analysis of IoT data streams was examined in this study. Power BI dashboards integrated with Teams Devices were used to collect, process, and visualize data using simulated sensor networks and Microsoft Azure IoT services. The findings showed significant gains in latency, error reduction, and packet stability but a minor drop in throughput. The system's ability to handle up to 200,000 messages per second was validated by scalability testing, and user assessments showed improved situational awareness and quicker decision-making in group settings. According to the findings, Microsoft Teams Devices provided a viable option for enterprises managing massive amounts of IoT data by acting as a useful collaboration layer that connected real-time IoT analytics with intuitive communication platforms.
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