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Flow-Aware Adaptive Pacing to Mitigate TCP Incast in Data Center Networks - 2020

Flow-Aware Adaptive Pacing to Mitigate TCP Incast in Data Center Networks

Research Area:  Wireless Sensor Networks


In data center networks, many network-intensive applications leverage large fan-in and many-to-one communication to achieve high performance. However, the special traffic patterns, such as micro-burst and high concurrency, easily cause TCP Incast problem and seriously degrade the application performance. To address the TCP Incast problem, we first reveal theoretically and empirically that alleviating packet burstiness is much more effective in reducing the Incast probability than controlling the congestion window. Inspired by the findings and insights from our experimental observations, we further propose a general supporting scheme Adaptive Pacing (AP), which dynamically adjusts burstiness according to the flow concurrency without any change on switch. Additionally, a sender-based approach is proposed to estimate the flow concurrency. Another feature of AP is its broad applicability. We integrate AP transparently into different TCP protocols (i.e., DCTCP, L 2 DCT and D 2 TCP). Through a series of large-scale NS2 simulations and testbed experiments, we show that AP significantly reduces the Incast probability across different TCP protocols and the network goodput can be increased consistently by on average 7× under severe congestion.


Author(s) Name:  Shaojun Zou; Jiawei Huang; Jianxin Wang; Tian He

Journal name:  IEEE/ACM Transactions on Networking

Conferrence name:  

Publisher name:  IEEE

DOI:   10.1109/TNET.2020.3027749

Volume Information:  ( Volume: 29, Issue: 1, Feb. 2021) Page(s): 134 - 147