Locality in Crisscross Error Correction [article]

Hedongliang Liu, Lukas Holzbaur, Antonia Wachter-Zeh
2018 arXiv   pre-print
The cover metric is suitable for describing the resilience against correlated errors in arrays, in particular crisscross errors, which makes it interesting for applications such as distributed data storage (DDS). In this work, we consider codes designed for the cover metric that have locality, that means lost symbols can be recovered by using only a few other (local) symbols. We derive and prove a Singleton-like bound on the minimum cover distance of cover-metric codes with locality and propose
more » ... a bound-achieving construction. Further, we explore the performance of our construction in comparison to a known construction based on rank-metric codes.
arXiv:1806.07496v2 fatcat:a2s6icaf5bgvhbchrykm4r7sdi