Market Driven Multi-domain Network Service Orchestration in 5G Networks
arXiv:2307.06488 · doi:10.1109/JSAC.2020.2986692
Abstract
The advent of a new breed of enhanced multimedia services has put network operators into a position where they must support innovative services while ensuring both end-to-end Quality of Service requirements and profitability. Recently, Network Function Virtualization (NFV) has been touted as a cost-effective underlying technology in 5G networks to efficiently provision novel services. These NFV-based services have been increasingly associated with multi-domain networks. However, several orchestration issues, linked to cross-domain interactions and emphasized by the heterogeneity of underlying technologies and administrative authorities, present an important challenge. In this paper, we tackle the cross-domain interaction issue by proposing an intelligent and profitable auction-based approach to allow inter-domains resource allocation.
References in corpus (10)
- Federated Learning: Strategies for Improving Communication Efficiency
- Network Function Virtualization: State-of-the-art and Research Challenges
- Network Service Orchestration: A Survey
- Measuring the Effects of Data Parallelism on Neural Network Training
- On the Computational Efficiency of Training Neural Networks
- SONATA: Service Programming and Orchestration for Virtualized Software Networks
- FlexNGIA: A Flexible Internet Architecture for the Next-Generation Tactile Internet
- Empirically Evaluating Multiagent Learning Algorithms
- Complexity of Training ReLU Neural Network
- Coalition Formation and Combinatorial Auctions; Applications to Self-organization and Self-management in Utility Computing