论文标题

METTEOR:商业数据中心网络的强大多人流拓扑工程

METTEOR: Robust Multi-Traffic Topology Engineering for Commercial Data Center Networks

论文作者

Teh, Min Yee, Zhao, Shizhen, Bergman, Keren

论文摘要

在过去的十年中,已经提出了许多光电路切换数据中心网络,尽管到目前为止,这些体系结构的商业采用量很少。这些架构通常面临的一个主要挑战是,很难用光电路开关(OCS)处理较高的开关延迟。先前的工作通常依靠快速开关的OCS原型来通过频繁的重新配置来更好地应对交通变化。不幸的是,这种方法为控制平面增添了进一步的复杂性。我们提出了Metteor,这是一种易于部署的光电路切换数据中心的解决方案,该解决方案是为商业OCS的当前功能而设计的。使用多个预测的流量矩阵,Metteor Designs数据中心拓扑对流量变化不太敏感,从而消除了在流量变化时经常重新配置OCS的需求。基于广泛评估使用生产轨迹的结果表明,Metteor以可比的成本以可比的成本将直接跳流量的百分比增加了约80%,并且在均匀的网格上以可比的最大链路利用率增加了约30%。与在每个流量矩阵上重新配置OCSS的理想解决方案相比,即使双周重新配置,Metteor也可以实现几乎最佳的带宽利用率。这大大降低了在商业环境中执行Metteor所需的控制器和管理复杂性。

Numerous optical circuit switched data center networks have been proposed over the past decade for higher capacity, though commercial adoption of these architectures have been minimal so far. One major challenge commonly facing these architectures is the difficulty of handling bursty traffic with optical circuit switches (OCS) with high switching latency. Prior works generally rely on fast-switching OCS prototypes to better react to traffic changes via frequent reconfigurations. This approach, unfortunately, adds further complexity to the control plane. We propose METTEOR, an easily deployable solution for optical circuit switched data centers, that is designed for the current capabilities of commercial OCSs. Using multiple predicted traffic matrices, METTEOR designs data center topologies that are less sensitive to traffic changes, thus eliminating the need of frequently reconfiguring OCSs upon traffic changes. Results based on extensive evaluations using production traces show that METTEOR increases the percentage of direct-hop traffic by about 80% over a fat tree at comparable cost, and by about 30% over a uniform mesh, at comparable maximum link utilizations. Compared to ideal solutions that reconfigure OCSs on every traffic matrix, METTEOR achieves close-to-optimal bandwidth utilization even with biweekly reconfiguration. This drastically lowers the controller and management complexity needed to perform METTEOR in commercial settings.

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