Scaling Up Clustered Network Appliances with ScaleBricks

Dong Zhou, Bin Fan, Hyeontaek Lim, D. Andersen, M. Kaminsky, M. Mitzenmacher, Ren Wang, A. Singh
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引用次数: 29

Abstract

This paper presents ScaleBricks, a new design for building scalable, clustered network appliances that must "pin" flow state to a specific handling node without being able to choose which node that should be. ScaleBricks applies a new, compact lookup structure to route packets directly to the appropriate handling node, without incurring the cost of multiple hops across the internal interconnect. Its lookup structure is many times smaller than the alternative approach of fully replicating a forwarding table onto all nodes. As a result, ScaleBricks is able to improve throughput and latency while simultaneously increasing the total number of flows that can be handled by such a cluster. This architecture is effective in practice: Used to optimize packet forwarding in an existing commercial LTE-to-Internet gateway, it increases the throughput of a four-node cluster by 23%, reduces latency by up to 10%, saves memory, and stores up to 5.7x more entries in the forwarding table.
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使用ScaleBricks扩展集群网络设备
本文介绍了ScaleBricks,一种用于构建可扩展的集群网络设备的新设计,它必须将流状态“固定”到特定的处理节点,而不能选择应该是哪个节点。ScaleBricks应用了一种新的、紧凑的查找结构,将数据包直接路由到适当的处理节点,而不会产生跨内部互连的多跳成本。它的查找结构比在所有节点上完全复制转发表的替代方法小很多倍。因此,ScaleBricks能够提高吞吐量和延迟,同时增加这种集群可以处理的流的总数。该架构在实际应用中是有效的:用于优化现有商用LTE-to-Internet网关的报文转发,使四节点集群的吞吐量提高23%,延迟降低10%,节省内存,转发表项最多增加5.7倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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