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FAST 2002 Abstract
Aqueduct: online data migration with performance guarantees
Chenyang Lu,
Department of Computer Science,
University of Virginia;
Guillermo A. Alvarez and John Wilkes,
Storage and Content Distribution Department
Abstract
Modern computer systems are expected to be up continuously: even planned downtime to accomplish system recon-figuration
is becoming unacceptable, so more and more changes are having to be made to "live" systems that are
running production workloads. One of those changes is data migration: moving data from one storage device to
another for load balancing, system expansion, failure recovery, or a myriad of other reasons. Traditional methods
for achieving this either require application down-time, or severely impact the performance of foreground applications
Ð neither a good outcome when performance predictability is almost as important as raw speed. Our solution
to this problem, Aqueduct, uses a control-theoretical approach to statistically guarantee a bound on the amount of
impact on foreground work during a data migration, while still accomplishing the data migration in as short a time
as possible. The result is better quality of service for the end users, less stress for the system administrators, and
systems that can be adapted more readily to meet changing demands.
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