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Interconnect Energy Savings and Lower Latency Networks in Hadoop Clusters: The Missing Link

机译:Hadoop集群中的互连节能和更低延迟的网络:缺失的环节

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An important challenge of modern data centres running Hadoop workloads is to minimise energy consumption, a significant proportion of which is due to the network. Significant network savings are already possible using Energy Efficient Ethernet, supported by a large number of NICs and switches, but recent work has demonstrated that the packet coalescing settings must be carefully configured to avoid a substantial loss in performance. Meanwhile, Hadoop is evolving from its original batch concept to become a more iterative type of framework. Other recent work attempts to reduce Hadoop's network latency using Explicit Congestion Notifications. Linking these studies reveals that, surprisingly, even when packet coalescing does not hurt performance, it can degrade network latency much more than previously thought. This paper is the first to analyze the impact of packet coalescing in the context of network latency. We investigate how to design and configure interconnects to provide the maximum energy savings without degrading cluster throughput performance or network latency.
机译:运行Hadoop工作负载的现代数据中心面临的一个重要挑战是最大程度地减少能耗,其中很大一部分是由于网络造成的。使用由大量NIC和交换机支持的节能以太网,已经可以节省大量网络,但是最近的工作表明,必须仔细配置数据包合并设置,以避免性能严重下降。同时,Hadoop正在从其最初的批处理概念演变为一种更具迭代性的框架类型。其他最近的工作尝试使用显式拥塞通知来减少Hadoop的网络延迟。链接这些研究表明,令人惊讶的是,即使数据包合并不会损害性能,它也会比以前认为的要多得多地降低网络延迟。本文是第一个分析在网络延迟情况下数据包合并的影响的方法。我们研究如何设计和配置互连以最大程度地节省能源,同时又不降低群集吞吐量性能或网络延迟。

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