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On Incentive-Driven VNF Service Chaining in Inter-Datacenter Elastic Optical Networks: A Hierarchical Game-Theoretic Mechanism

机译:在数据中心间弹性光网络中的激励驱动的VNF服务:分层游戏理论机制

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In this paper, we propose an incentive-driven virtual network function service chaining (VNF-SC) framework for optimizing the cross-stratum resource provisioning in multi-broker orchestrated inter-datacenter elastic optical networks (IDC-EONs). The proposed framework employs a non-cooperative hierarchical game-theoretic mechanism, where the resource brokers and the VNF-SC users play the leader and the follower games, respectively. In the leader game, the brokers calculate VNF-SC service schemes for users and compete for the provisioning tasks. While in the follower game, the users compete for VNF-SC services for jointly optimizing the resource cost and the received quality-of-service. We first elaborate on the modeling of the follower game, discuss the existence of Nash equilibrium and propose a mixed-strategy gaming approach enabled by an auxiliary graph-based algorithm to facilitate users selecting the most appropriate service schemes. Then, under the assumption that the brokers are aware of the principle of the follower game, we present the model for the leader game and develop a time-efficient heuristic algorithm for brokers to compete for the provisioning tasks. Simulations show that the proposed incentive-driven VNF-SC framework significantly improves the network throughput (i.e., > 4.8x blocking reduction) while assisting users and brokers in achieving higher utilities compared with existing solutions.
机译:在本文中,我们提出了一种激励驱动的虚拟网络功能服务链式(VNF-SC)框架,用于优化多个代理策划间数据中心弹性光网络(IDC-EONS)中的跨层资源供应。拟议的框架采用了非合作的分层游戏理论机制,其中资源经纪人和VNF-SC用户分别扮演领导者和跟随游戏。在领导者游戏中,经纪人为用户计算VNF-SC服务方案并竞争配置任务。在追随者游戏中,用户竞争VNF-SC服务,共同优化资源成本和接收的服务质量。我们首先详细说明了跟随游戏的建模,讨论了纳什均衡的存在,并提出了一种由基于辅助图形的算法实现的混合策略游戏方法,以便于选择最合适的服务方案。然后,在经纪人了解追随者游戏的原则的假设下,我们展示了领导者游戏的模型,并为经纪人开发了一个时间高效的启发式算法,以竞争供应任务。模拟表明,拟议的激励驱动的VNF-SC框架显着提高了网络吞吐量(即> 4.8倍的阻塞),同时协助用户和经纪人与现有解决方案相比实现更高的公用事业。

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