SCHEDULE: NOV 16-22, 2013
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Design and Performance Evaluation of NUMA-Aware RDMA-Based End-to-End Data Transfer Systems
SESSION: Data Management in the Cloud
EVENT TYPE: Papers
TIME: 11:30AM - 12:00PM
SESSION CHAIR: Erwin Laure
AUTHOR(S):Yufei Ren, Tan Li, Dantong Yu, Shudong Jin, Thomas Robertazzi
ROOM:205/207
ABSTRACT:
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
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The full paper can be found in the ACM Digital Library