Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application

Rezaee, Mohammad Reza; Abdul Hamid, Nor Asilah Wati; Hussin, Masnida; Zukarnain, Zuriati Ahmad

doi:10.1109/access.2024.3375368

Cited by 5 publications

(1 citation statement)

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“…Walia et al [44] review the specific case of resource management leveraging AI in fog and edge-computing environments, including IIoT. Rezaee et al [45] also review algorithms for fog offloading and task management leveraging AI, SDN, and including IIoT as a use-case scenario. Finally, Alanhdi et al [46] survey the integration of AI and blockchain for edge-computing frameworks in different domains, including Industry 4.0 among them.…”

Section: Analysis Of Related Workmentioning

confidence: 99%

A Survey on AI-Empowered Softwarized Industrial IoT Networks

Rojas,

Carrascal,

Lopez-Pajares

et al. 2024

Electronics

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The future generation of mobile networks envision Artificial Intelligence (AI) and the Internet of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated use cases, with the industrial sector being one to benefit the most. This survey reviews related works in this field, with a particular focus on the specific role of network softwarization. Furthermore, the survey delves into their context and trends, categorizing works into several types and comparing them based on their contribution to the advancement of the state of the art. Since our analysis yields a lack of integrated practical implementations and a potential desynchronization with current standards, we finalize our study with a summary of challenges and future research ideas.

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Section: Analysis Of Related Workmentioning

confidence: 99%