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We propose a novel integrated fog cloud IoT (IFCIoT) architectural paradigmthat promises increased performance, energy efficiency, reduced latency,quicker response time, scalability, and better localized accuracy for futureIoT applications. The fog nodes (e.g., edge servers, smart routers, basestations) receive computation offloading requests and sensed data from variousIoT devices. To enhance performance, energy efficiency, and real-timeresponsiveness of applications, we propose a reconfigurable and layered fognode (edge server) architecture that analyzes the applications' characteristicsand reconfigure the architectural resources to better meet the peak workloaddemands. The layers of the proposed fog node architecture include applicationlayer, analytics layer, virtualization layer, reconfiguration layer, andhardware layer. The layered architecture facilitates abstraction andimplementation for fog computing paradigm that is distributed in nature andwhere multiple vendors (e.g., applications, services, data and contentproviders) are involved. We also elaborate the potential applications of IFCIoTarchitecture, such as smart cities, intelligent transportation systems,localized weather maps and environmental monitoring, and real-time agriculturaldata analytics and control.

IFCIoT: Integrated Fog Cloud IoT Architectural Paradigm for Future Internet of Things