Sparse metadata segment tree for efficient file storage operations in evolving backup workloads

Embodiments are directed to a method of minimizing latency and input/output (I/O) operations in a data storage system by defining a sparse metadata segment tree to identify changed data blocks, wherein a full version of the tree is stored in a memory and modified versions of the tree are stored in c...

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Main Authors Pogde Prashant, Allu Yamini, Kamat Mahesh
Format Patent
LanguageEnglish
Published 13.03.2018
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Abstract Embodiments are directed to a method of minimizing latency and input/output (I/O) operations in a data storage system by defining a sparse metadata segment tree to identify changed data blocks, wherein a full version of the tree is stored in a memory and modified versions of the tree are stored in cache memory, and using the sparse metadata segment tree to perform at least one data storage application including file verification, file replication, file restores, and file system snapshots.
AbstractList Embodiments are directed to a method of minimizing latency and input/output (I/O) operations in a data storage system by defining a sparse metadata segment tree to identify changed data blocks, wherein a full version of the tree is stored in a memory and modified versions of the tree are stored in cache memory, and using the sparse metadata segment tree to perform at least one data storage application including file verification, file replication, file restores, and file system snapshots.
Author Allu Yamini
Pogde Prashant
Kamat Mahesh
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Snippet Embodiments are directed to a method of minimizing latency and input/output (I/O) operations in a data storage system by defining a sparse metadata segment...
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SubjectTerms CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Title Sparse metadata segment tree for efficient file storage operations in evolving backup workloads
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