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. Another feature of AP is its broad applicability. We integrate AP transparently into different TCP protocols (i.e., DCTCP, L2DCT and D2TCP). Through a series of large-scale NS2 simulations, we show that AP significantly reduces the Incast probability across different TCP protocols and the network goodput can be increased consistently by on average 7x under severe congestion.
|Original language||English (US)|
|Title of host publication||Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017|
|Editors||Kisung Lee, Ling Liu|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Jul 13 2017|
|Event||37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States|
Duration: Jun 5 2017 → Jun 8 2017
|Name||Proceedings - International Conference on Distributed Computing Systems|
|Other||37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017|
|Period||6/5/17 → 6/8/17|
Bibliographical noteFunding Information:
This work is supported by the National Natural Science Foundation of China (61572530, 61502539, 61402541, 61462007 and 61420106009) and the Next Generation Internet Innovation Foundation (Grant No. NGII201601130).
© 2017 IEEE.
Copyright 2017 Elsevier B.V., All rights reserved.
- Congestion control
- Data center