
Research Article
Fog Resource Sharing to Enable Pay-Per-Use Model
@INPROCEEDINGS{10.1007/978-3-031-27041-3_10, author={Zahid Khan and Hasan Ali Khattak and Assad Abbas and Samee U. Khan}, title={Fog Resource Sharing to Enable Pay-Per-Use Model}, proceedings={Wireless Internet. 15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings}, proceedings_a={WICON}, year={2023}, month={2}, keywords={Fog computing Pay-per-use model Coalition formation Game theoretic approaches}, doi={10.1007/978-3-031-27041-3_10} }
- Zahid Khan
Hasan Ali Khattak
Assad Abbas
Samee U. Khan
Year: 2023
Fog Resource Sharing to Enable Pay-Per-Use Model
WICON
Springer
DOI: 10.1007/978-3-031-27041-3_10
Abstract
Advancements in the Internet of Things and Information Communication and Technologies have increased the demand for real-time services. Thus computing resources are migrated from the cloud to fog networks to give the users near real-time experiences. Fog computing resources containing storage and networks that are shifted from core to edge to minimize the latency while using the applications-application implementation nearest to fog nodes that 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 depends on alliance establishment for resource management while using the model that will charge according to the usage of network resources. We assume that the cluster contains one prime node with several fog nodes. Firstly, the customer needs information regarding the application requirement for the clusters then the prime node evaluates the capacity of the fog node, which fulfills desired demands of the end user. According to end-user requirements, the prime node among the cluster selects the specific symmetry batch nodes. Additionally, in this work, we have suggested an extension of resource handling regarding fog networks, combining end-user demands for the service and allocating individual nodes against the batch application.