SC13 Home > SC13 Schedule > SC13 Presentation - Design and Performance Evaluation of NUMA-Aware RDMA-Based End-to-End Data Transfer Systems

SCHEDULE: NOV 16-22, 2013

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

Design and Performance Evaluation of NUMA-Aware RDMA-Based End-to-End Data Transfer Systems

SESSION: Data Management in the Cloud


TIME: 11:30AM - 12:00PM


AUTHOR(S):Yufei Ren, Tan Li, Dantong Yu, Shudong Jin, Thomas Robertazzi


Data-intensive applications place stringent requirements on the performance of both back-end storage systems and front-end network interfaces. However, for transferring data at ultra high-speed, for example, at 100 Gbps and higher, the effects of multiple bottlenecks along a full end-to-end path have not been resolved efficiently. In this paper, we describe our implementation of end-to-end data transfer software at such high-speeds. At the back-end, we construct a storage-area network with the iSCSI protocols and utilize efficient RDMA technology. At the front-end, we design network communication software to transfer data in parallel, and utilize NUMA techniques to maximize the performance of multiple network interfaces. We demonstrate that our system can deliver the full 100 Gbps end-to-end data transfer throughput. The software product is tested rigorously and is demonstrated to be applicable to supporting various data-intensive applications that constantly move bulk data within and across data centers.

Chair/Author Details:

Erwin Laure (Chair) - KTH Royal Institute of Technology

Yufei Ren - Stony Brook University

Tan Li - Stony Brook University

Dantong Yu - Brookhaven National Laboratory

Shudong Jin - Stony Brook University

Thomas Robertazzi - Stony Brook University

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

The full paper can be found in the ACM Digital Library