标题：Improved constructions for optimal multi-erasure locally recoverable codes for big data storage
作者：Qian, Jianfa ;Zhang, Lina
作者机构：[Qian, Jianfa ;Zhang, Lina ] School of Mathematics and Big Data, Huizhou University, Huizhou, Guangdong; 516007, China
会议名称：2nd International Conference on Big Data Technologies, ICBDT 2019
会议日期：August 28, 2019 - August 30, 2019
来源：ACM International Conference Proceeding Series
摘要：Multi-erasure locally recoverable codes play a very significant role in distributed data storage. The advantage of multi-erasure locally recoverable codes is that it has local and global erasure-correcting characteristics. Recently, based on classical algebraic geometry codes, Huang et al. constructed a family of explicit optimal multi-erasure locally recoverable codes over small finite fields F4 . In this work, based on the work of Huang et al., we use cyclic codes to construct a family of new optimal multi-erasure locally recoverable codes over small finite fields F3 . It turns out that our multi-erasure locally recoverable codes have smaller finite fields than the previously known results.
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