Reliable, Scalable, And High Performance Distributed Storage: Data Distribution
When used in place of conventional allocation tables, the algorithm efficiently addresses a range of critical storage-related placement issues, including statistically uniform data distribution, correlated failure and data safety, and data migration in dynamically changing storage clusters. Specifically, the algorithm places sets of data objects (either object replicas, or parity or erasure coded fragments) in a hierarchy of storage devices using a flexible rule language. The flexible hierarchical cluster description facilitates an adjustable balance between extremely efficient placement calculations and mapping stability when devices are added or removed from the cluster. It further provides the ability to enforce the separation of replicas across user-defined failure domains, limiting exposure to data loss due to correlated failures.
Publication Date19 February 2014
Tagsfile systems distributed storage systems hierarchical data distribution
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