Efficient data transfer protocols for big data

B. Tierney, E. Kissel, D. M. Swany, Eric Pouyoul
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引用次数: 63

Abstract

Data set sizes are growing exponentially, so it is important to use data movement protocols that are the most efficient available. Most data movement tools today rely on TCP over sockets, which limits flows to around 20Gbps on today's hardware. RDMA over Converged Ethernet (RoCE) is a promising new technology for high-performance network data movement with minimal CPU impact over circuit-based infrastructures. We compare the performance of TCP, UDP, UDT, and RoCE over high latency 10Gbps and 40Gbps network paths, and show that RoCE-based data transfers can fill a 40Gbps path using much less CPU than other protocols. We also show that the Linux zero-copy system calls can improve TCP performance considerably, especially on current Intel “Sandy Bridge”-based PCI Express 3.0 (Gen3) hosts.
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面向大数据的高效数据传输协议
数据集的大小呈指数级增长,因此使用最有效的数据移动协议非常重要。如今,大多数数据移动工具都依赖于套接字上的TCP,这在当今的硬件上将流量限制在20Gbps左右。RDMA基于融合以太网(RoCE)是一种很有前途的新技术,用于高性能网络数据移动,对基于电路的基础设施的CPU影响最小。我们比较了TCP、UDP、UDT和RoCE在高延迟10Gbps和40Gbps网络路径上的性能,并表明基于RoCE的数据传输可以使用比其他协议少得多的CPU来填充40Gbps路径。我们还表明,Linux零复制系统调用可以大大提高TCP性能,特别是在当前基于英特尔“Sandy Bridge”的PCI Express 3.0 (Gen3)主机上。
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