Congestion Control for Spraying with Congested Paths
This work addresses QoS issues in datacenter networking for network engineers and operators, but it is incremental as it builds on existing congestion control algorithms.
The paper tackles the problem of poor Quality of Service (QoS) when packet spraying is combined with existing congestion control algorithms in datacenter networks, especially under congested paths, by proposing a median feedback approach that improves both Google's Swift and Ultra Ethernet's NSCC algorithms.
Packet spraying approaches are increasingly deployed in datacenter networks. However, their combination with existing congestion control algorithms (CCAs) may lead to poor QoS, especially when some of the paths are congested. In this paper, we first model the throughput collapse of a wide array of CCAs when some of the paths are congested. We explain that since CCAs are typically designed for single-path routing, their estimation function focuses on the latest feedback and mishandles feedback that reflects multiple paths. We propose using a median feedback that is more robust to the varying signals that come with multiple paths. We introduce MSwift and MNSCC, which apply this median principle to Google's Swift and Ultra Ethernet's NSCC. We demonstrate that they can improve both CCAs, reaching better QoS both under congested paths and in uncongested networks.