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A Tensor-Based Computing and Optimization Model for Intelligent Edge Services
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DOI：10.1109/MNET.011.1800508.png)
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Cyber-physical-social systems (CPSS) encompassing the cyber, physical and social worlds and the integrations among them, such as Industrial Internet of Things, has, as one of its main purposes, the provision of intelligent services for humans. For CPSS, the rapid development of smart devices with their increasing computational and storage capabilities makes them an attractive and innovative computing model for edge computing between the CPSS and cloud computing. The intelligent edge services (IES) has revolutionized almost every aspect of daily life. However, to realize highly efficient IES provisions in CPSS, important constraints, such as the execution time with security level, price, and energy consumption, should be considered in edge computing. In addition, the systematic integration of these constraints and the general optimization modeling for edge computing is very challenging. In this article, we propose a comprehensive optimization model for IES provision. To demonstrate the merits of the proposed computing and optimization model, a case study is presented.
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