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• W2963163039 abstract "In a distributed storage system, code symbols are dispersed across space in nodes or storage units as opposed to time. In settings such as that of a large data center, an important consideration is the efficient repair of a failed node. Efficient repair calls for erasure codes that in the face of node failure, are efficient in terms of minimizing the amount of repair data transferred over the network, the amount of data accessed at a helper node as well as the number of helper nodes contacted. Coding theory has evolved to handle these challenges by introducing two new classes of erasure codes, namely regenerating codes and locally recoverable codes as well as by coming up with novel ways to repair the ubiquitous Reed-Solomon code. This survey provides an overview of the efforts in this direction that have taken place over the past decade." @default.
• W2963163039 created "2019-07-30" @default.
• W2963163039 creator A5000294837 @default.
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• W2963163039 creator A5056042146 @default.
• W2963163039 creator A5091221122 @default.
• W2963163039 date "2018-09-06" @default.
• W2963163039 modified "2023-10-01" @default.
• W2963163039 title "Erasure coding for distributed storage: an overview" @default.
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• W2963163039 doi "https://doi.org/10.1007/s11432-018-9482-6" @default.
• W2963163039 hasPublicationYear "2018" @default.
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