A family of optimal locally recoverable codes

Itzhak Tamo, Alexander Barg

Research output: Contribution to journalArticlepeer-review


A code over a finite alphabet is called locally recoverable (LRC) if every symbol in the encoding is a function of a small number (at most r) other symbols. We present a family of LRC codes that attain the maximum possible value of the distance for a given locality parameter and code cardinality. The codewords are obtained as evaluations of specially constructed polynomials over a finite field, and reduce to a Reed-Solomon code if the locality parameter r is set to be equal to the code dimension. The size of the code alphabet for most parameters is only slightly greater than the code length. The recovery procedure is performed by polynomial interpolation over r points. We also construct codes with several disjoint recovering sets for every symbol. This construction enables the system to conduct several independent and simultaneous recovery processes of a specific symbol by accessing different parts of the codeword. This property enables high availability of frequently accessed data ("hot data").

Original languageEnglish
Article number6820791
Pages (from-to)4661-4676
Number of pages16
JournalIEEE Transactions on Information Theory
Issue number8
StatePublished - Aug 2014
Externally publishedYes


  • Distributed storage
  • erasure recovery
  • evaluation codes
  • hot data


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