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Integrating IoT and cloud computing for continuous process optimization in real time systems

Rhoda Ajayi

2025International Journal of Research Publication and Reviews18 citationsDOIOpen Access PDF

Abstract

The integration of the Internet of Things (IoT) and cloud computing has revolutionized process optimization in real-time systems, offering unprecedented opportunities to enhance efficiency, scalability, and decision-making capabilities.IoT-enabled devices generate massive volumes of real-time data from distributed systems, while cloud computing provides the computational power and storage infrastructure necessary to process and analyse this data effectively.This synergy facilitates continuous monitoring, predictive analytics, and automated decision-making across various domains, including manufacturing, healthcare, and logistics.Real-time systems demand rapid response times and seamless data integration, challenges that are effectively addressed by IoT and cloud computing integration.Through cloud-based analytics, organizations can derive actionable insights from sensor data, enabling dynamic adjustments to processes in response to evolving conditions.This approach not only enhances system performance but also reduces operational costs and minimizes downtime.Despite its advantages, integrating IoT and cloud computing poses challenges such as data security, latency, and interoperability among heterogeneous devices.Advances in edge computing and hybrid cloud architectures are emerging as potential solutions to address these limitations, enabling faster data processing closer to the data source while maintaining centralized oversight.Additionally, machine learning algorithms and artificial intelligence further enhance the capability of IoT-cloud systems by enabling predictive maintenance and anomaly detection.This paper explores the critical role of IoT and cloud computing in real-time process optimization, highlighting key applications, challenges, and future directions.By leveraging this integration, organizations can achieve greater flexibility, resilience, and efficiency, positioning themselves for success in an increasingly connected and competitive environment.

Topics & Concepts

Cloud computingComputer scienceInternet of ThingsProcess (computing)Distributed computingReal-time computingEmbedded systemOperating systemAdvanced Data Processing TechniquesDigital Transformation in IndustryIndustrial Automation and Control Systems
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