Achieving Low Latency for Multipath Transmission in RDMA Based Data Center Network

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhaoyi Li;Jiawei Huang;Shiqi Wang;Jianxin Wang
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Abstract

Remote Direct Memory Access (RDMA) achieves ultra-low latency, high throughput and low CPU overhead in data center by implementing the transport logic in hardware network interface card (NIC). However, RDMA faces new challenges in the heterogeneous multipath environment as it is very sensitive to packet reordering. When some packets are blocked in slow paths, the other packets delivered through fast paths have to be buffered at the receiver's NIC, consuming the limited on-chip memory resources. In this paper, we propose a new RDMA-based multipath transmission scheme with advanced fast retransmission called as AFR-MPRDMA. Specifically, once detecting congestion at the slow path, the sender will retransmit the blocked packets on other fast paths to speed up the transmission of blocked packets. Moreover, the receiver dynamically adjusts the buffer size for the out-of-order packets to avoid either unnecessary retransmission or long latency. The results of large-scale tests show that AFR-MPRDMA effectively mitigates packets blocking issue and reduces average flow completion time (AFCT) by up to 61% compared with the state-of-the-art RDMA-based schemes.
在基于 RDMA 的数据中心网络中实现低延迟多路径传输
远程直接内存访问(RDMA)通过在硬件网络接口卡(NIC)中实施传输逻辑,在数据中心实现了超低延迟、高吞吐量和低 CPU 开销。然而,RDMA 在异构多路径环境中面临新的挑战,因为它对数据包重新排序非常敏感。当一些数据包在慢速路径中受阻时,通过快速路径传送的其他数据包就必须在接收方的网卡上进行缓冲,从而消耗了有限的片上内存资源。在本文中,我们提出了一种新的基于 RDMA 的多路径传输方案,该方案具有高级快速重传功能,称为 AFR-MPRDMA。具体来说,一旦检测到慢速路径拥塞,发送方将在其他快速路径上重传被阻塞的数据包,以加快被阻塞数据包的传输速度。此外,接收方会动态调整失序数据包的缓冲区大小,以避免不必要的重传或较长的延迟。大规模测试结果表明,AFR-MPRDMA 能有效缓解数据包阻塞问题,与基于 RDMA 的先进方案相比,平均流量完成时间(AFCT)最多可缩短 61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
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