Yiying Zhang

Datacenter Networking

Advance in datacenter networking in the past decade has driven a sea change in the way datacenters are organized and managed. We are exploring various datacenter networking issues from the systems perspective. Currently, we are interested in low-latency, RDMA-based network systems.

Kernel-Level Indirection Layer for RDMA

Recently, there is an increasing interest in building datacenter applications with RDMA because of its low-latency, high-throughput, and low-CPU-utilization benefits. However, RDMAis not readily suitable for datacenter applications. It lacks a flexible, high-level abstraction; its performance does not scale; and it does not provide resource sharing or flexible protection. Because of these issues, it is difficult to build RDMA-based applications and to exploit RDMA’s performance benefits.

To solve these issues, we built LITE, a Local Indirection TiEr for RDMA in the Linux kernel that virtualizes native RDMA into a flexible, high-level, easy-to-use abstraction and allows applications to safely share resources. Despite the widely-held belief that kernel bypassing is essential to RDMA’s low-latency performance, we show that using a kernel-level indirection can achieve both flexibility and lowlatency, scalable performance at the same time.

Related Publications

MemAlbum: an Object-Based Remote Software Transactional Memory System
Shin-Yeh Tsai, Yiying Zhang
the 2018 Workshop on Warehouse-scale Memory Systems (WAMS '18) (co-located with ASPLOS '18)

LITE Kernel RDMA Support for Datacenter Applications
Shin-Yeh Tsai, Yiying Zhang
Proceedings of the 26th ACM Symposium on Operating Systems Principles (SOSP '17)

Rockies: A Network System for Future Data Center Racks
Shin-Yeh Tsai, Linzhe Li, Yiying Zhang
WIP and Poster at the 14th USENIX Conference on File and Storage Technologies (FAST '16)