Cloud Service Architectures for Internet of Things (IoT) Integration: Analyzing Efficient Cloud Computing Models and Architectures Tailored for IoT Environments

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Abstract

The integration of cloud computing with Internet of Things (IoT) technologies has prompted significant advancements in both fields, offering robust platforms for handling massive data processing and enhancing IoT functionalities. This review article delves into cloud service architectures tailored specifically for IoT environments, examining various cloud computing models that can effectively support IoT systems. We explore key cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), and their applicability to IoT frameworks. Additionally, we address critical challenges such as scalability, latency, and security, providing a comprehensive analysis of current solutions and emerging trends. By consolidating insights from recent studies, we aim to provide a clearer understanding of the efficiencies and constraints associated with deploying cloud service architectures in IoT ecosystems. This work serves as a foundation for future research and development, paving the way for optimized integration strategies that meet the dynamic demands of IoT applications.

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