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A new service overlays dimensioning approach based on stochastic geometry

机译:一种新的基于随机几何的服务覆盖尺寸标注方法

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摘要

The global provisioning of some types of evolved services over the Internet requires the deployment of servers; the approach is usually called service overlays. An optimal design of the number of servers and of their location is critical in order to minimize the deployment cost while providing the quality of service expected by users. In this paper, we propose an original modelling, analysis and optimization approach based on stochastic geometry to deal with this design issue. Two particular cases of service overlays are emphasized: servers deployed for content delivery (i.e. to deploy a content delivery network or CDN) and servers deployed for reliable multicast communications. In our approach, the network topology, the subscribers' location and the servers' location are represented by point processes in the plane. Point process theory and Palm Calculus are used in order to obtain closed form expressions for the expected value of realistic cost functions. These closed forms allow us to evaluate the optimal cost of a future deployment.
机译:在Internet上对某些类型的演进服务进行全局配置需要部署服务器。该方法通常称为服务覆盖。服务器数量及其位置的最佳设计对于最大限度地降低部署成本,同时提供用户期望的服务质量至关重要。在本文中,我们提出了一种基于随机几何的原始建模,分析和优化方法来解决该设计问题。强调了两种特殊的服务覆盖情况:部署用于内容交付的服务器(即部署内容交付网络或CDN)和部署用于可靠的多播通信的服务器。在我们的方法中,网络拓扑,订户位置和服务器位置由平面中的点过程表示。为了获得现实成本函数的期望值,使用点过程理论和Palm微积分法来获得封闭形式的表达式。这些封闭的表格使我们能够评估未来部署的最佳成本。

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