Near Optimal Learning-Driven Mechanisms for Stable NFV Markets in Multitier Cloud Networks

More and more 5G and AI applications demand flexible and low-cost processing of their traffic through diverse virtualized network functions (VNFs) to meet their security and privacy requirements. As such, the Network Function Virtualization (NFV) market has been emerged as a major service market tha...

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Veröffentlicht in:	IEEE/ACM transactions on networking 2022-12, Vol.30 (6), p.2601-2615
Hauptverfasser:	Xu, Zichuan, Ren, Haozhe, Liang, Weifa, Xia, Qiufen, Zhou, Wanlei, Zhou, Pan, Xu, Wenzheng, Wu, Guowei, Li, Mingchu
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication Algorithms Cloud computing Customer services Customers Data centers Decision theory Edge computing Incentives Machine learning Maximization Multi-tier cloud networks near optimal incentive-compatible mechanisms network function virtualization online learning Optimization Players price of anarchy Resource management Software Stochastic processes Urban areas Virtual environments
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