高效的拥塞控制一直是数据中心网络领域的一个重要挑战。往返时延RTT的精确测量是基于RTT的反应型拥塞控制算法的关键。基于Swift拥塞控制算法，提出一种基于RTT测量的报文偏转拥塞控制算法——Gyration，将偏转报文延迟添加到RTT计算过程，在偏转拥塞控制算法中增加偏转延迟的测量，使RTT计算更准确，更加精确地评估网络拥塞情况。实验结果表明，相比Swift算法，在重负载的Cache Follower、Data Mining、Web Search和Web Server流量模式下，Gyration将流完成时间FCT缩短了20%,80%,13%和60%，吞吐量提高了38%,6%,15%和2%，实现了对数据中心网络更加及时、精确的拥塞控制，有效缓解了数据中心网络拥塞问题。


Efficient congestion control has always been a critical challenge in the field of datacenter networks. Accurate measurement of Round Trip Time (RTT) is the cornerstone of RTT-based reactive congestion control algorithms. Based on Swift congestion control algorithm, this paper proposes Gyration, a packet deflection congestion control algorithm based on RTT measurement. Gyration incorporates the deflection packet delay into the calculation of RTT, thereby augmenting the RTT calculation with the measurement of deflection delay. This approach enables a more accurate assessment of network congestion conditions. Experimental results demonstrate that compared to Swift, under heavy load traffic patterns such as Cache Follower, Data Mining, Web Search, and Web Server, Gyration achieves a reduction in flow completion time FCT by 20%, 80%, 13%, and 60%, respectively, and an increase in throughput by 38%, 6%, 15%, and 2%, respectively. This signifies that Gyration provides more timely and precise congestion control for datacenter networks, effectively mitigating congestion issues within these networks.


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