IEEE Systems Journal · 2019 · 11 citations · 28 references
EngineeringCloud ComputingSystems EngineeringComputer ArchitectureInternet Of ThingsSystems ArchitectureEdge-cloud ArchitectureFog ComputingIot ArchitectureMicroarchitecture DesignProcessor Core DesignApproximate ComputingApproximate Computing For Power ReductionIot Application ArchitectureIot Data ProcessingIot Platform ArchitectureIot System DesignRough Set Decision MakingRough Set Theory
Currently, the growth of the first generation Internet of Things (IoT) system for low-end devices having less memory and infrastructure is challenged due to the lack of engineering support in terms of architecture, technology, hardware, privacy, security, and business. This paper discusses system engineering issues relevant in IoT processors and builds a case for exploring rough set as an approximate computing technique in next generation IoT hardware. The proposed approach has a potential of dealing with inconsistencies arising at layers in hardware infrastructure for IoT applications with a dominance at cloud and fog processing. The authors bring out a research direction in IoT as an engineering discipline with an emphasis on the impact of processor hardware extension.
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