REAL-TIME DATA VISUALIZATION FOR IOT NETWORK SYSTEMS: CHALLENGES AND STRATEGIES FOR PERFORMANCE OPTIMIZATION
DOI:
https://doi.org/10.34185/1562-9945-5-148-2023-05Keywords:
real-time data visualization, IoT, decision-making, performance optimization.Abstract
Real-time data visualization has become an essential tool for decision-making systems in various industries, including finance, healthcare, IoT, and manufacturing. Real-time data visualization enables organizations to monitor and analyze data as it is generated, providing real-time insights into critical business operations. However, real-time data visualization poses several challenges, including performance, data quality, and visualization complexity. This paper will explore the importance of real-time data visualization in IoT network systems, and the challenges associated with it. Specifically, the paper will discuss the challenges of real-time data visualization and ideas to increase performance. The paper will also provide a comprehensive analysis of the impact of real-time data visualization on IoT network and decision-making systems, highlighting its benefits and potential drawbacks. The paper will begin by discussing the importance of real-time data visualization in IoT network systems, highlighting its role in providing timely insights into critical operations. It will then delve into the challenges associated with real-time data visualization, including data quality, visualization complexity, and performance. The paper will provide a detailed analysis of each challenge, outlining the potential impact on real-time data visualization systems and deci-sion-making processes. The paper will also explore ideas to increase performance in real-time data visualization, including implementing high-performance computing infrastructure, op-timizing data processing and analysis, using caching techniques, using visualization techniques optimized for performance, implementing data compression, and using real-time analytics. The paper will provide a comprehensive analysis of each idea, outlining its potential impact on real-time data visualization systems' performance and overall effective-ness. Finally, the paper will conclude by highlighting the importance of real-time data visualization in IoT network systems and the need to address the challenges associated with it. The paper will also provide recommendations about how to implement real-time data visualization systems, outlining key considerations and best practices to ensure successful implementation and optimal performance.
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