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Practical TDMA for Datacenter Ethernet

机译:数据中心以太网的实用TDMA

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Cloud computing is placing increasingly stringent demands on datacenter networks. Applications like MapReduce and Hadoop demand high bisection bandwidth to support their all-to-all shuffle communication phases. Conversely. Web services often rely on deep chains of relatively lightweight RPCs. While HPC vendors market niche hardware solutions, current approaches to providing high-bandwidth and low-latency communication in the datacenter exhibit significant inefficiencies on commodity Ethernet hardware. We propose addressing these challenges by leveraging the tightly coupled nature of the datacenter environment to apply time-division multiple access (TDMA). We design and implement a TDMA MAC layer for commodity Ethernet hardware that allows end hosts to dispense with TCP's re-liability and congestion control. We evaluate the practicality of our approach and find that TDMA slots as short as 100s of microseconds are possible. We show that partitioning link bandwidth and switch buffer space to flows in a TDMA fashion can result in higher bandwidth for MapReduce shuffle workloads, lower latency for RPC workloads in the presence of background traffic, and more efficient operation in highly dynamic and hybrid optical/electrical networks.
机译:云计算正在对数据中心网络提供越来越严格的要求。像MapReduce和Hadoop这样的应用程序需要高的平衡带宽,以支持他们的全部洗牌通信阶段。反过来。 Web服务通常依赖于相对轻量级的RPC的深链。虽然HPC供应商市场利基硬件解决方案,但在数据中心提供高带宽和低延迟通信的电流方法表现出商品以太网硬件的显着低效率。我们提出通过利用数据中心环境的紧密耦合性质来解决这些挑战,以应用时间分割多次访问(TDMA)。我们为商品以太网硬件设计并实现TDMA MAC层,允许结束主机免除TCP的重新责任和拥塞控制。我们评估了我们方法的实用性,并发现可以短至100秒的TDMA插槽。我们显示分区链路带宽和交换缓冲空间以TDMA方式流动,可以导致MapReduce Shuffle工作负载的带宽更高,RPC工作负载在存在后背景流量的情况下降低延迟,以及高度动态和混合光学/电气的更有效的操作网络。

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