Large-Scale Service Function Chaining Management and Orchestration in Smart City

Abstract

In the core networking of smart cities, mobile network operators need solutions to reflect service function chaining (SFC) orchestration policies while ensuring efficient resource utilization and preserving quality of service (QoS) in large-scale networking congestion states. To offer this solution, we observe the standardized QoS class identifiers of smart city scenarios. Then, we reflect the service criticalities via cloning virtual network function (VNF) with reserved resources for ensuring effective scheduling of request queue management. We employ graph neural networks (GNN) with a message-passing mechanism to iteratively update hidden states of VNF nodes with the objectives of enhancing allocation of resource blocks, accurate detection of availability statuses, and duplication of heavily congested instances. The deployment properties of smart city use cases are presented along with their intelligent service functions, and we aim to activate a modular architecture with multi-purpose VNFs and chaining isolation for generalizing global instances. Experimental simulation is conducted to illustrate how the proposed scheme performs under different congestion levels of SFC request rates, while capturing the key performance metrics of average delay, acceptance ratios, and completion ratios.

Smart City as Cooperating Smart Areas: On the Way of Symbiotic Cyber–Physical Systems Environment

“…Another challenging issue of the urban environment refers to approaches aiming to reduce and manage network congestion in the Smart City, ensuring efficient resource utilization; the authors of [29] explore this direction through the exploitation of Service Function Chaining. The study presented in [30] explores the integration of federated learning (FL) technology in Smart Cities to handle network data while ensuring user privacy and security.…”