AI Powered Human-centric Computing with Cloud/Fog/Edge

Submission Deadline: 30 December 2023 (closed) View: 179

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Summary

In the past decade, human-centric computing (HCC) has emerged as a cross-disciplinary research domain that enables the effective integration of various human-related computational elements, benefiting the interactions and collaborations among the physical devices, cyber space and people significantly. Through intelligent HCC techniques, software and hardware engineers can develop various human-computer applications conveniently to satisfy the users’ sophisticated functional and non-functional requirements. However, HCC applications have been generating an unprecedented volume of industrial data and therefore, require the support of powerful computing and storage infrastructures. Fortunately, modern computing paradigms, e.g., cloud, fog and edge, provide a promising way to provision HCC applications the cloud/fog/edge resources in an economic and flexible manner. The adaption of cloud/fog/edge computing to HCC applications is a fundamental challenge and raise a variety of issues, e.g., time-efficient data transmission, energy-aware resource offloading, secure communications & collaborations, and so on.

Recently, Artificial Intelligence (AI) has emerged as one of the key technologies to realize intelligent cloud/fog/edge data processing. AI algorithms have the capability to process the streaming data generated at cloud/fog/edge networks, and provide powerful tools to deal with complex big data analytics. Therefore, the adaptation of AI-based methods is highly demanded to achieve their full potentials in cloud/fog/edge-based HCC applications. The security and privacy issues also call for efforts in order to guarantee service quality delivered by cloud/fog/edge-based HCC applications.

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