Smart in-network deduplication for storage-aware SDN

Authors:
Yu Hua;Xue Liu;Dan Feng
Affiliations:
Huazhong University of Science and Technology, Wuhan, China;McGill University, Montreal, Canada;Huazhong University of Science and Technology, Wuhan, China
Venue:
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
Year:
2013

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Abstract

In order to efficiently handle the rapid growth of data and reduce the overhead of network transmission, we propose an in-network deduplication for storage-aware Software Defined Network (SDN), called SMIND. Unlike conventional source or destination deduplication schemes, SMIND implements in-network deduplication via SDN. Moreover, to address the performance bottleneck of accessing and indexing SDN controller, we implement an SDN-enabled Flash Translation Layer (FTL) in a real prototype of Solid State Disk (SSD). Experimental results demonstrate the efficiency and efficacy of SMIND.