DocumentCode :
692893
Title :
Design and performance evaluation of NUMA-aware RDMA-based end-to-end data transfer systems
Author :
Yufei Ren ; Tan Li ; Dantong Yu ; Shudong Jin ; Robertazzi, Thomas
Author_Institution :
Stony Brook Univ., Stony Brook, NY, USA
fYear :
2013
fDate :
17-22 Nov. 2013
Firstpage :
1
Lastpage :
10
Abstract :
Data-intensive applications place stringent requirements on the performance of both back-end storage systems and frontend network interfaces. However, for ultra high-speed data transfer, 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 an 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 demonstrated applicable to supporting various data-intensive applications that constantly move bulk data within and across data centers.
Keywords :
computer network performance evaluation; data communication; network interfaces; protocols; storage area networks; NUMA techniques; NUMA-aware RDMA-based end-to-end data transfer systems; RDMA technology; back-end storage systems; data centers; data-intensive applications; end-to-end data transfer software; front-end network interfaces; iSCSI protocols; network interfaces; performance evaluation; software product; storage area network; ultra high-speed data transfer; Abstracts; Artificial intelligence; IP networks; Laboratories; Wide area networks; Multi-Core Architecture; Network Protocols; Non-Uniform Memory Access; Remote Direct Memory Access; Storage Area Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SC), 2013 International Conference for
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4503-2378-9
Type :
conf
DOI :
10.1145/2503210.2503260
Filename :
6877481
Link To Document :
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