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Ursa Minor: Versatile Cluster-based Storage
No single encoding scheme or fault model is optimal for all data. A versatile storage system allows them to be matched to access patterns, reliability requirements, and cost goals on a per-data item basis. Ursa Minor is a cluster-based storage system that allows data-specific selection of, and on-line changes to, encoding schemes and fault models. Thus, different data types can share a scalable storage infrastructure and still enjoy specialized choices, rather than suffering from "one size fits all." Experiments with Ursa Minor show performance benefits of 2–3x when using specialized choices as opposed to a single, more general, configuration. Experiments also show that a single cluster supporting multiple workloads simultaneously is much more efficient when the choices are specialized for each distribution rather than forced to use a "one size fits all" configuration. When using the specialized distributions, aggregate cluster throughput nearly doubled.
author = {Michael Abd-El-Malek and William V. Courtright II and Chuck Cranor and Gregory R. Ganger and James Hendricks and Andrew J. Klosterman and Michael Mesnier and Manish Prasad and Brandon Salmon and Raja R. Sambasivan and Shafeeq Sinnamohideen and John D. Strunk and Eno Thereska and Matthew Wachs and Jay J. Wylie},
title = {Ursa Minor: Versatile Cluster-based Storage},
booktitle = {4th USENIX Conference on File and Storage Technologies (FAST 05)},
year = {2005},
address = {San Francisco, CA},
url = {https://www.usenix.org/conference/fast-05/ursa-minor-versatile-cluster-based-storage},
publisher = {USENIX Association},
month = dec
}
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