att_abstract={{The demand for cloud storage is exploding as an ever increasing number of enterprises and consumers are storing and processing their data in the cloud. Hence, distributed object storage solutions (e.g., Tahoe-LAFS, Riak, Swift, HDFS)
 are becoming very critical components of any cloud infrastructure. These systems are able to offer good reliability by distributing redundant information across a large number of commodity servers, easily achieving up to 10 nines of reliability. One drawback of these systems is that they are usually designed for deployment within a single data center, where node-to-node latencies are small. Geo-replication (i.e., distributing redundant information across data centers)
for most open-source storage systems is, to the best of our knowledge, accomplished by asynchronously mirroring a given deployment. Given that
geo-replication is critical for ensuring very high degrees of reliability (e.g., for achieving 16 nines), in this work we evaluate how these storage systems perform when they are directly deployed in a WAN setting. To this end, three popular distributed object stores, namely Quantcast-QFS, Swift and Tahoe-LAFS, are considered and tested on a three-wide data center environment and our findings are reported.
	att_authors={ct9807, yc2591, vv9482, mh6516, pl869j, ed2527},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2013. {{, 2013-10-07}}{{, IEEEXplore}}
	author={Chao Tian and Yih-farn Chen and Vinay Vaishampayan and Marios Hadjieleftheriou and Pingkai Liu and Edward Daniels},
	institution={{IEEE Big Data Conference, Workshop on  Distributed Storage Systems and Coding for BigData }},
	title={{Distributed Storage Evaluation on a Three-Wide Inter-Data Center Deployment}},