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Zygaria: Storage Performance as a Managed Resource

12 years 3 months ago
Zygaria: Storage Performance as a Managed Resource
Large-scale storage systems often hold data for multiple applications and users. A problem in such systems is isolating applications and users from each other to prevent their workloads from interacting in unexpected ways. Another is ensuring that each application receives an appropriate level of performance. As part of the solution to these problems, we have designed a hierarchical I/O scheduling algorithm to manage performance resources on an underlying storage Our algorithm uses a simple allocation abstraction: an application or user has a corresponding pool of throughput, and manages throughput within its pool by opening sessions. The algorithm ensures that each pool and session receives at least a reserve rate of throughput and caps usage at a limit rate, using hierarchical token buckets and EDF I/O scheduling. Once it has fulfilled the reserves of all active sessions and pools, it shares unused throughput fairly among active sessions and pools such that they tend to receive the...
Theodore M. Wong, Richard A. Golding, Caixue Lin,
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where RTAS
Authors Theodore M. Wong, Richard A. Golding, Caixue Lin, Ralph A. Becker-Szendy
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