Ursa minor: versatile cluster-based storage
Ursa minor: versatile cluster-based storage
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发表时间：
2005-12
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通讯作者：
M. Abd-El-Malek;William V. Courtright;C. Cranor;G. Ganger;James Hendricks;Andrew J. Klosterman;M. Mesnier-M.
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作者：
M. Abd-El-Malek;William V. Courtright;C. Cranor;G. Ganger;James Hendricks;Andrew J. Klosterman;M. Mesnier-M.
没有一种编码方案或故障模型对所有数据都是最优的。通用存储系统允许它们与每个数据项的访问模式、可靠性要求和成本目标相匹配。小熊星座是一个基于集群的存储系统，它允许对编码方案和故障模型进行特定数据的选择和在线更改。因此，不同的数据类型可以共享可伸缩的存储基础设施，并且仍然享有专门的选择，而不是遭受“一刀切”的痛苦。对小熊座的实验表明，与使用单一的、更通用的配置相比，使用专门的选项可以带来2-3倍的性能优势。实验还表明，当为每个发行版专门选择而不是强制使用“一刀切”配置时，单个集群同时支持多个工作负载的效率要高得多。当使用专门的分布时，总集群吞吐量几乎翻了一番。
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 2-3× 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.