Paper Info
Title
Ursa minor: versatile cluster-based storage
Abstract
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.
Year
Venue
Keywords
2005
FAST
specialized choice,single encoding scheme,versatile cluster-based storage,versatile storage system,ursa minor show performance,scalable storage infrastructure,single cluster,cluster-based storage system,specialized distribution,fault model,ursa minor,data type,storage system
Field
DocType
Citations 
Computer science,Computer data storage,Parallel computing,Ursa Minor,Real-time computing,Data type,Throughput,Fault model,Scalability,Encoding (memory)
Conference
75
PageRank 
References 
Authors
4.90
28
15
Name
Order
Citations
PageRank
Michael Abd-El-Malek164728.60
William V. Courtright, II211810.81
Chuck Cranor3987.69
Gregory R. Ganger44560383.16
James Hendricks525618.65
Andrew J. Klosterman6775.61
Michael P. Mesnier726719.50
Manish Prasad824615.58
Brandon Salmon920211.74
Raja R. Sambasivan1022313.33
Shafeeq Sinnamohideen1130129.22
John D. Strunk1253847.56
Eno Thereska13127456.94
Matthew Wachs1435218.49
Jay J. Wylie1568544.29