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- W3013020132 abstract "Fog computing is emerging as a powerful technology and computing paradigm which enables the providers to execute the services in the edge network. Both sensor computing and mobile computing are selected as the fog nodes, as well as the cloud nodes, as and when needed for their resource provisioning. The networking policy is more dynamically controlled by the Software Defined Network (SDN), which is an intelligent technology in the network that controls the forwarding devices. It is a challenge to realize the energy efficiency for the computing nodes in the fog-assisted cloud environment. In this paper, we focus on the energy-saving issues in Fog Server (FS) selections for the Fog Node (FN) in the fog-assisted cloud computing environment. In view of this challenge, Fog Node (FN) scheduling method for energy efficiency in fog-assisted cloud computing is projected. We analyze the energy influencing factors and then design energy-efficient FN selection algorithms based on dynamic programming scheme. Consequentially, the experimental evaluation studies and comparative analysis are performed to validate the effectiveness and efficiency of our proposed scheme. In this paper, the dynamic programming scheme is used for optimizing the selection of FNs for better energy efficiency. The experimental results illustrate that the proposed dynamic programming technique achieves good energy-saving effect. We perform the experiments with ifogsim and the results depict that the proposed algorithm can be used for minimizing the energy consumed by the fog system while maintaining the SLA parameters." @default.
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- W3013020132 date "2020-01-01" @default.
- W3013020132 modified "2023-10-16" @default.
- W3013020132 title "Energy-Efficient Resource Scheduling in Fog Computing Using SDN Framework" @default.
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- W3013020132 doi "https://doi.org/10.1007/978-981-15-2414-1_57" @default.
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