Revisiting Network Support for RDMA

06/21/2018
by   Radhika Mittal, et al.
0

The advent of RoCE (RDMA over Converged Ethernet) has led to a significant increase in the use of RDMA in datacenter networks. To achieve good performance, RoCE requires a lossless network which is in turn achieved by enabling Priority Flow Control (PFC) within the network. However, PFC brings with it a host of problems such as head-of-the-line blocking, congestion spreading, and occasional deadlocks. Rather than seek to fix these issues, we instead ask: is PFC fundamentally required to support RDMA over Ethernet? We show that the need for PFC is an artifact of current RoCE NIC designs rather than a fundamental requirement. We propose an improved RoCE NIC (IRN) design that makes a few simple changes to the RoCE NIC for better handling of packet losses. We show that IRN (without PFC) outperforms RoCE (with PFC) by 6-83 for PFC, it improves performance in the process! We further show that the changes that IRN introduces can be implemented with modest overheads of about 3-10 industry should rethink the current trajectory of network support for RDMA.

READ FULL TEXT
research
07/06/2020

Providing In-network Support to Coflow Scheduling

Many emerging distributed applications, including big data analytics, ge...
research
07/02/2020

LSTFCoDel: CoDel with LSTF-Style Priority Queuing

Congestion control is vastly important in computer networks. Arising nat...
research
04/30/2023

SFC: Near-Source Congestion Signaling and Flow Control

State-of-the-art congestion control algorithms for data centers alone do...
research
06/25/2019

A Framework for Qualitative Communications Using Big Packet Protocol

In the current Internet architecture, a packet is a minimal or fundament...
research
09/06/2021

An Axiomatic Perspective on the Performance Effects of End-Host Path Selection

In various contexts of networking research, end-host path selection has ...
research
12/24/2020

Designs with complex blocking structures and network effects for use in agricultural field experiments

We propose a novel model-based approach for constructing optimal designs...

Please sign up or login with your details

Forgot password? Click here to reset