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Optimal planning of virtual content delivery networks under uncertain traffic demands

机译:不确定流量需求下的虚拟内容交付网络的最佳规划

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摘要

Content Delivery Networks (CDNs) have been identified as one of the relevant use cases where the emerging paradigm of Network Functions Virtualization (NFV) will likely be beneficial. In fact, virtualization fosters flexibility, since on-demand resource allocation of virtual CDN nodes can accommodate sudden traffic demand changes. However, there are cases where physical appliances should still be preferred, therefore we envision a mixed architecture in between these two solutions, capable to exploit the advantages of both of them. Motivated by these reasons, in this paper we formulate a two-stage stochastic planning model that can be used by CDN operators to compute the optimal long-term network planning decision, deploying physical CDN appliances in the network and/or leasing resources for virtual CDN nodes in data centers. Key findings demonstrate that for a large range of pricing options and traffic profiles, NFV can significantly save network costs spent by the operator to provide the content distribution service.
机译:内容交付网络(CDN)已被确定为相关的用例之一,其中新兴的网络功能虚拟化(NFV)范例将可能是有益的。实际上,虚拟化可提高灵活性,因为虚拟CDN节点的按需资源分配可以适应流量需求的突然变化。但是,在某些情况下,仍应首选物理设备,因此我们设想在这两种解决方案之间采用混合架构,能够利用它们两者的优势。由于这些原因,我们在本文中制定了一个两阶段随机规划模型,CDN运营商可以使用该模型来计算最佳的长期网络规划决策,在网络中部署物理CDN设备和/或为虚拟CDN租赁资源数据中心中的节点。主要发现表明,对于各种定价选项和流量配置文件,NFV可以大大节省运营商用于提供内容分发服务的网络成本。

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