@techreport{TD:100827,
	att_abstract={{A common problem with disk-based cloud storage services
is that performance can vary greatly and become
highly unpredictable in a multi-tenant environment. A
fundamental reason is the interference between workloads
co-located on the same physical disk. We observe that different
IO patterns interfere with each other significantly,
which makes the performance of different types of workloads
unpredictable when they are executed concurrently.
Unpredictability implies that users may not get a fair share
of the system resources from the cloud services they are
using. At the same time, replication is commonly used in
cloud storage for high reliability. Connecting these two
facts, we propose a cloud storage system designed to minimize
workload interference without increasing storage
costs or sacrificing the overall system throughput. Our
design leverages log-structured disk layout, chain replication
and a workload-based replica selection strategy to
minimize interference, striking a balance between performance
and fairness. Our initial results suggest that this
approach is a promising way to improve the performance
and predictability of cloud storage.}},
	att_authors={ym747h},
	att_categories={C_NSS.4},
	att_copyright={{USENIX}},
	att_copyright_notice={{The definitive version was published in 2012, Usenix. {{, 2012-06-12}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:100827},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100827_DS1_2012-03-13T19:11:01.696Z.pdf},
	author={Yun Mao and Xing Lin and Feifei Li and Robert Ricci},
	institution={{USENIX HotCloud workshop}},
	month={June},
	title={{Towards Fair Sharing of Block Storage in a Multi-tenant Cloud}},
	year=2012,
}