Detailed Analysis of the QoS-aware Service Provisioning Framework and its Algorithm in Fog Computing

Computer Science

The backbone platform for providing computing power and storage services to IoT enabled environments is frequently cloud computing. The rapid processing of massive volumes of data is required by current Internet of Things (IoT) technology and services. Surveillance and object detection are currently the main goals, Nevertheless, network latency cannot be reduced by cloud computing to fulfil reaction time requirements. Cloud computing's issues are resolved by fog computing, which brings cloud services to the boundaries of the network. Fog computing reduces latency and network capacity utilization by moving calculations closer to the data-generating devices. Service provisioning is a promising stage for fog-cloud computing systems. Two fog-based frameworks, Fog Plan and Fog Offload, which can improve the QoS by reducing service delay, are provided in this paper. They make it possible for IoT application tasks to be scheduled and executed on a group of fog nodes. The impact of security concerns is also examined, along with potential fixes, in this study, which offers future security-related guidance to those in charge of creating and maintaining the Fog system. Asset provisioning is a promising stage for fog-cloud computing systems.

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