对多站点数据中心的骨干网络进行量纲化:利用任意播路由实现弹性

Chris Develder, B. Jaumard
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引用次数: 3

摘要

在当今大数据时代,应用越来越依赖于位于大型数据中心(dc)的强大计算基础设施,通常采用云计算技术。显然,这需要高效且有弹性的网络基础设施来将这些应用程序的用户与托管它们的数据中心连接起来。在本文中,我们关注的是大地理尺度上的骨干网基础设施(即所谓的广域网),它通常采用光网络技术。特别是,我们研究了这样的骨干网的维度问题:每个链路应该为流量提供多少带宽,从已知来源发出,到达数据中心?甚至可能是:我们应该部署多少这样的数据中心,在什么位置?更具体地说,我们总结了我们最近的工作,基本上解决了以下基本研究问题:(1)任播路由策略是否影响所需网络资源的数量?(2)我们是否可以利用任意播路由实现弹性目的,即在故障条件下重新定位到不同的数据中心,以减少资源容量需求?(3)如果服务请求随时间变化,从一个DC位置更改任意广播请求目的地到另一个DC位置,从一个时间段更改到下一个时间段,是否有利?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dimensioning backbone networks for multi-site data centers: Exploiting anycast routing for resilience
In the current era of big data, applications increasingly rely on powerful computing infrastructure residing in large data centers (DCs), often adopting cloud computing technology. Clearly, this necessitates efficient and resilient networking infrastructure to connect the users of these applications with the data centers hosting them. In this paper, we focus on backbone network infrastructure on large geographical scales (i.e., the so-called wide area networks), which typically adopts optical network technology. In particular, we study the problem of dimensioning such backbone networks: what bandwidth should each of the links provide for the traffic, originating at known sources, to reach the data centers? And possibly even: how many such DCs should we deploy, and at what locations? More concretely, we summarize our recent work that essentially addresses the following fundamental research questions: (1) Does the anycast routing strategy influence the amount of required network resources? (2) Can we exploit anycast routing for resilience purposes, i.e., relocate to a different DC under failure conditions, to reduce resource capacity requirements? (3) Is it advantageous to change anycast request destinations from one DC location to the other, from one time period to the next, if service requests vary over time?
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