<p>The present study provides a comprehensive survey on the integration of FaaS with Internet of Things (IoT), edge, and fog computing in heterogeneous smart environments. It examines the theoretical foundations of cloud virtualization, IoT frameworks, and emerging computing paradigms, while analyzing the role of Artificial Intelligence of Things (AIoT) in enhancing these systems. The study highlights the benefits and challenges of combining FaaS with IoT, Edge, and Fog computing, including improved scalability, reduced latency, and efficient resource utilization. Additionally, it investigates real-world applications across diverse domains such as smart agriculture, healthcare, transportation, and smart homes. Through this extensive analysis, the research offers valuable insights into the advancement of cloud virtualization and its implications for developing more efficient and intelligent ecosystems.</p>

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Advancing cloud virtualization: a comprehensive survey on integrating IoT, Edge, and Fog computing with FaaS for heterogeneous smart environments

  • Mohammad Mahdi Ghaseminya,
  • Elahe Eslami,
  • Seyed Abolfazl Shahzadeh Fazeli,
  • Jamshid Abouei,
  • Elham Abbasi,
  • Seyed Mehdi Karbassi

摘要

The present study provides a comprehensive survey on the integration of FaaS with Internet of Things (IoT), edge, and fog computing in heterogeneous smart environments. It examines the theoretical foundations of cloud virtualization, IoT frameworks, and emerging computing paradigms, while analyzing the role of Artificial Intelligence of Things (AIoT) in enhancing these systems. The study highlights the benefits and challenges of combining FaaS with IoT, Edge, and Fog computing, including improved scalability, reduced latency, and efficient resource utilization. Additionally, it investigates real-world applications across diverse domains such as smart agriculture, healthcare, transportation, and smart homes. Through this extensive analysis, the research offers valuable insights into the advancement of cloud virtualization and its implications for developing more efficient and intelligent ecosystems.