Fog Resource Sharing to Enable Pay Per Use Model

Abstract

Advancements in the Internet of Things (IoT) as well as Information Communication and Tech nology (ICT) have increased the demand for real-time services. To improve the efficiency of real-time services computing resources are migrated from the cloud to fog networks. Fog com puting resources containing storage and network devices are shifted from core to edge which minimizes the latency while using the applications. Implementation of application nearest to fog nodes reduce the latency however burden leans on the density of users. The fog network performance degrades because of the over-subscription of fog nodes. In this work, we have proposed a method that will perform the management of fog resources and the end-user will be charged according to the usage of fog resources. We assume that the cluster contains one prime node with several fog nodes. Firstly, the end-user request for network resources according to its application requirement from the clusters then the prime node evaluates the capacity of the fog node which node fulfills the desired demands of the end user. According to the end user’s requirements, the prime node selects the specific symmetry batch nodes. The proposed solution also performs the trade-off between service delay and the related price of the fog resources. Ad ditionally, in this work, we have suggested an extension of resource handling of fog computing, combining end-user demands for the service and allocating individual nodes against the batch application.