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Internet of Things (IoT) advancements drive cloud computing (CC), edge computing (EC), and hybrid edge-cloud computing (ECC) paradigms to address challenges like resource allocation, latency, and scalability. ECC dynamically allocates tasks between cloud and edge, optimizing workload demands. This study compares CC, EC, and ECC across architectural frameworks, latency, scalability, security, and energy efficiency. Results emphasize adaptable edge-cloud systems requiring AI [1, 2] and blockchain integration to bolster security, interoperability, and efficiency in evolving IoT ecosystems.

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Advancements and Challenges in Cloud Computing, Edge Computing and Edge-Cloud Computing for IoT: A Comprehensive Review

  • 会议论文

  • 发表日期：

    2026年

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  • Ahmed Er-Rahmani,
  • Mohamed El Ghmary,
  • Wijdane Lakhouari,
  • Hassan Echoukairi

摘要

Internet of Things (IoT) advancements drive cloud computing (CC), edge computing (EC), and hybrid edge-cloud computing (ECC) paradigms to address challenges like resource allocation, latency, and scalability. ECC dynamically allocates tasks between cloud and edge, optimizing workload demands. This study compares CC, EC, and ECC across architectural frameworks, latency, scalability, security, and energy efficiency. Results emphasize adaptable edge-cloud systems requiring AI [1, 2] and blockchain integration to bolster security, interoperability, and efficiency in evolving IoT ecosystems.