TY - GEN
T1 - Correctable Erasure Patterns in Product Topologies
AU - Holzbaur, Lukas
AU - Puchinger, Sven
AU - Yaakobi, Eitan
AU - Wachter-Zeh, Antonia
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/12
Y1 - 2021/7/12
N2 - Locality enables storage systems to recover failed nodes from small subsets of surviving nodes. The setting where nodes are partitioned into subsets, each allowing for local recovery, is well understood. In this work we consider a generalization introduced by Gopalan et al., where, viewing the codewords as arrays, constraints are imposed on the columns and rows in addition to some global constraints. Specifically, we present a generic method of adding such global parity-checks and derive new results on the set of correctable erasure patterns. Finally, we relate the set of correctable erasure patterns in the considered topology to those correctable in tensor-product codes.
AB - Locality enables storage systems to recover failed nodes from small subsets of surviving nodes. The setting where nodes are partitioned into subsets, each allowing for local recovery, is well understood. In this work we consider a generalization introduced by Gopalan et al., where, viewing the codewords as arrays, constraints are imposed on the columns and rows in addition to some global constraints. Specifically, we present a generic method of adding such global parity-checks and derive new results on the set of correctable erasure patterns. Finally, we relate the set of correctable erasure patterns in the considered topology to those correctable in tensor-product codes.
UR - http://www.scopus.com/inward/record.url?scp=85115102075&partnerID=8YFLogxK
U2 - 10.1109/ISIT45174.2021.9518208
DO - 10.1109/ISIT45174.2021.9518208
M3 - Conference contribution
AN - SCOPUS:85115102075
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2054
EP - 2059
BT - 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Symposium on Information Theory, ISIT 2021
Y2 - 12 July 2021 through 20 July 2021
ER -