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Measurement-based performance profiles and dynamics of UDT over dedicated connections

机译:基于测量的性能概况和专用连接上的UDT动态

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Wide-area data transfers in high-performance computing and big data scenarios are increasingly being carried over dedicated network connections that provide high capacities at low loss rates. UDP-based transport protocols are expected to be particularly well-suited for such transfers but their performance is relatively unexplored over a wide range of connection lengths, compared to TCP over shared connections. We present extensive throughput measurements of UDP-based Data Transfer (UDT) over a suite of physical and emulated 10 Gbps connections. In sharp contrast to current UDT analytical models, these measurements indicate much more complex throughput dynamics that are sensitive to the connection modality, protocol parameters, and round-trip times. Lyapunov exponents estimated from the Poincaré maps of UDT traces clearly indicate regions of instability and complex dynamics. We propose a simple model based on the ramp-up and sustainment regimes of a generic transport protocol, which qualitatively illustrates the dominant monotonicity and concavity properties of throughput profiles and relates them to Lyapunov exponents. These measurements and analytical results together enable us to comprehensively evaluate UDT performance and select parameters to achieve high throughput, and they also provide guidelines for designing effective transport protocols for dedicated connections.
机译:高性能计算和大数据场景中的广域数据传输越来越多地通过专用网络连接进行传输,这些连接可在低丢失率下提供高容量。预计基于UDP的传输协议特别适合于此类传输,但是与基于共享连接的TCP相比,它们在较大的连接长度范围内的性能尚未得到充分挖掘。我们介绍了一组物理和模拟10 Gbps连接上基于UDP的数据传输(UDT)的大量吞吐量测量。与当前的UDT分析模型形成鲜明对比的是,这些测量结果表明,更复杂的吞吐量动态对连接方式,协议参数和往返时间很敏感。从UDT迹线的庞加莱图估计的Lyapunov指数清楚地表明了不稳定和复杂动力学的区域。我们提出了一个基于通用运输协议的加速和维持机制的简单模型,该模型定性地说明了吞吐量剖面的主要单调性和凹性,并将它们与Lyapunov指数相关联。这些测量结果和分析结果使我们能够全面评估UDT性能并选择参数以实现高吞吐量,它们还为设计专用连接的有效传输协议提供了指导。

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