Reordering-Resilient Multipath Transport for RDMA-Enabled Cloud Datacenters

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Authors: Jin Wang, Yang Li, Ruiqian Li, Jalel Ben‐Othman, Jinbin Hu
Cited by: 0
References: 24

Abstract

Remote direct memory access (RDMA) is widely deployed in production data centers to enable low-latency transmission. The current multipath RDMA transmission protocols effectively improve link utilization by allocating traffic to equal-cost parallel paths. To address packet reordering, they struggle to control the level of out-of-order packets by using bitmaps. However, under asymmetric path status and highly dynamic traffic scenarios, a large number of out-of-order packets easily cause bitmap overflow and frequent unnecessary retransmission, resulting in goodput far below throughput. Motivated by this, we present MPTR, an efficient multipath transport with robust reordering for RDMA networks. At its core, MPTR continuously monitors the multipath congestion status at the receiver and distributes the traffic in a congestion-aware manner to proactively reduce the degree of out-of-order and avoid triggering retransmission due to bitmap cache overflow. The NS-3 simulation results show that MPTR effectively reduces unnecessary retransmission and improves goodput under realistic workloads by up to 34%, 49%, and 51% compared to multi-path remote direct memory access (MP-RDMA), ConWeave, and data center quantized congestion notification (DCQCN), respectively.

Fields of Study & Subjects

Network Traffic and Congestion Control Distributed systems and fault tolerance Software-Defined Networks and 5G

Publication details

Journal / source
IEEE Transactions on Industrial Informatics
Volume
22
Issue
5
Pages
4549–4560
Publication date
12 February 2026
Language
EN