NDLI: Maestro: quality-of-service in large disk arrays

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Maestro: quality-of-service in large disk arrays

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Maestro: quality-of-service in large disk arrays

Content Provider	ACM Digital Library
Author	Singhal, Sharad Uysal, Mustafa Zhu, Xiaoyun Padala, Pradeep Merchant, Arif Shin, Kang
Abstract	Provisioning storage in disk arrays is a difficult problem because many applications with different workload characteristics and priorities share resources provided by the array. Currently, storage in disk arrays is statically partitioned, leading to difficult choices between over-provisioning to meet peak demands and resource sharing to meet efficiency targets. In this paper, we present Maestro, a feedback controller that can manage resources on large disk arrays to provide performance differentiation among multiple applications. Maestro monitors the performance of each application and dynamically allocates the array resources so that diverse performance requirements can be met without static partitioning. It supports multiple performance metrics (e.g., latency and throughput) and application priorities so that important applications receive better performance in case of resource contention. By ensuring that high-priority applications sharing storage with other applications obtain the performance levels they require, Maestro makes it possible to use storage resources efficiently. We evaluate Maestro using both synthetic and real-world workloads on a large, commercial disk array. Our experiments indicate that Maestro can reliably adjust the allocation of disk array resources to achieve application performance targets.
Starting Page	245
Ending Page	254
Page Count	10
File Format	PDF
ISBN	9781450306072
DOI	10.1145/1998582.1998638
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-06-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Storage systems Quality of service Control theory Feedback control Disk arrays
Content Type	Text
Resource Type	Article

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