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

机译:数据中心间弹性光网络中激励驱动的VNF服务链:分层博弈论机制

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摘要

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(VNF-SC)框架,用于优化多代理协调的数据中心间弹性光网络(IDC-EON)中的跨层资源供应。提出的框架采用了一种非合作的分层博弈论机制,其中资源经纪人和VNF-SC用户分别玩领导者游戏和跟随者游戏。在领导者游戏中,经纪人为用户计算VNF-SC服务方案并竞争供应任务。在跟随游戏中,用户竞争VNF-SC服务,以共同优化资源成本和接收的服务质量。我们首先详细介绍跟随者游戏的建模,讨论纳什均衡的存在,并提出一种混合策略游戏方法,该方法由基于辅助图的算法支持,以方便用户选择最合适的服务方案。然后,假设经纪人了解跟随者博弈的原理,我们提出了领导者博弈模型,并开发了一种省时的启发式算法,供经纪人竞争供应任务。仿真表明,提出的激励驱动的VNF-SC框架显着提高了网络吞吐量(即,减少了4.8倍以上的阻塞),同时可以帮助用户和经纪人实现比现有解决方案更高的效用。

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