TRILL - OpenFlow桥的设计与分析

Valentin Del Piccolo, Ahmed Amamou, Bruno Vidalenc, M. Bouet, K. Haddadou
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引用次数: 1

摘要

云计算预计将继续增长,因此越来越多的数据中心正在建设中。在数据中心数量不断增加的同时,也出现了更多的云提供商。一方面,云市场的这种异构性允许用户选择和更改其云提供商。另一方面,由于云提供商的数量不断增加,现在有可能让小型云提供商组成云联盟。通过这种方式,他们可以共享资源,以适应他们的客户,并与更大的云提供商竞争。然而,需要解决方案来互连数据中心。这些解决方案必须允许云提供商将其数据中心与其他云提供商的数据中心互连。即使数据中心不使用相同的技术,也必须实现这种互连。这是我们在本文中关注的问题,我们提出了一个将TRILL数据中心与OpenFlow数据中心互连的解决方案。我们设计和实现这个解决方案是为了分析它对吞吐量和延迟的影响。关于延迟,我们发现我们的解决方案比OpenFlow解决方案增加了3%。吞吐量方面,我们的吞吐量比TRILL低8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Analysis of a TRILL - OpenFlow Bridge
Cloud computing is expected to keep growing and therefore more and more data centers are being built. In parallel of this increasing amount of data centers, there are also more cloud providers. On one side, this heterogeneity in the cloud market allows a user to choose and change its cloud provider. On the other side, thanks to this growing number of cloud providers, it is now possible to have small cloud providers forming a cloud federation. This way, they can mutualize their resources in order to accommodate their clients and compete with bigger cloud providers. However, solutions are needed to interconnect data centers. Those solutions must allow a cloud provider to interconnect its data centers to other cloud providers' one. This interconnection must be achieved even if the data centers do not use the same technology. This is the problem we focus on in this paper and we propose a solution to interconnect a TRILL data center with an OpenFlow one. We design and implement this solution in order to analyze its impact on both throughput and latency. Concerning the latency, we found that our solution increases it by 3% compared to the OpenFlow solution. Throughput-wise, we have an 8% lower throughput than TRILL.
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