DIRS: Dynamic Initial Rate Setting in Congestion Control for Disaggregated Storage Systems
DIRS: Dynamic Initial Rate Setting in Congestion Control for Disaggregated Storage Systems
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DOI：
10.1109/icnc57223.2023.10074382
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发表时间：
2023-02
期刊：
影响因子：
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通讯作者：
Xiaoqian Zhang;Allen Yang;Danlin Jia;Li Wang;Mahsa Bayati;Pradeep Subedi;Xuebin Yao;B. Sheng;N. Mi
中科院分区：
文献类型：
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作者：
Xiaoqian Zhang;Allen Yang;Danlin Jia;Li Wang;Mahsa Bayati;Pradeep Subedi;Xuebin Yao;B. Sheng;N. Mi
本文主要研究分布式存储系统中的网络拥塞控制问题。在这样的系统中，支持网络需要低延迟并且对网络拥塞极其敏感。由于网络拓扑结构和存储I/O负载的独特性，现有的数据中心网络拥塞控制算法在我们的目标系统中不能很好地工作。出于现有的问题，我们开发了一个新的解决方案，DIRS，它动态地设置每个流的初始发送速率。我们的计划有助于提高拥塞控制协议的有效性，特别是在繁忙的I/O流量。它为流选择合适的初始速率，并从一开始就减轻拥塞，同时不降低流的网络性能。
This paper focuses on network congestion control in a disaggregated storage system. In such a system, the supporting network requires low latency and is extremely sensitive to network congestion. The existing congestion control algorithms for data center networks do not work well in our target system because of the unique characteristics of the network topology and the storage I/O workload. Motivated by the existing issues, we develop a new solution, DIRS, which dynamically sets the initial sending rate for each flow. Our scheme helps improve the effectiveness of the congestion control protocols, especially under heavy I/O traffic. It chooses an appropriate initial rate for a flow and mitigates the congestion from the beginning while not degrading the flow’s network performance.