Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Aaditya M. Nair

dblp:234/7750 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
error-correcting codes
0.712023
Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size Bounds · IEEE Trans. Inf. Theory 2023
Coding theory › error-correcting codes
locally recoverable codes
0.712023
Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size Bounds · IEEE Trans. Inf. Theory 2023
Coding theory › distributed storage › distributed storage codes
maximally recoverable codes
0.712023
Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size Bounds · IEEE Trans. Inf. Theory 2023
Coding theory › distributed storage › distributed storage codes › locally repairable codes
hierarchical locality
0.212023
Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size Bounds · IEEE Trans. Inf. Theory 2023

Methods — techniques the papers use, named apart from their topics

parity-check matrix construction · 0.7field size bounds · 0.7
YearPublicationVenuePosition
2023 Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size Bounds
abstract
Maximally recoverable codes are a class of codes which recover from all potentially recoverable erasure patterns given the locality constraints of the code. In earlier works, these codes have been studied in the context of codes with locality. The notion of locality has been extended to hierarchical locality, which allows for locality to gradually increase in levels with the increase in the number of erasures. We consider the locality constraints imposed by codes with two-level hierarchical locality and define maximally recoverable codes with hierarchical locality. We characterize the set of all erasure patterns which can be corrected by hierarchical data-local and hierarchical local maximally recoverable codes (MRC). We show that by carefully puncturing coordinates of the code, hierarchical local MRC can be reduced to hierarchical data-local MRC. Based on picking elements of finite fields and their extensions, all of which satisfy certain linear independence properties, we provide a generic construction of parity check matrix of hierarchical local MRC for all parameters. By appropriately modifying parity check matrices of local MRCs with limited parities, we also give constructions of hierarchical local MRCs with limited parities. Finally, we also derive a lower bound on the field size of hierarchical local MRCs.
D. Shivakrishna, Aaditya M. Nair, V. Lalitha 0001
IEEE Trans. Inf. Theory2
2021 A Field Size Bound and Constructions of Maximally Recoverable Codes with Hierarchical Locality
abstract
Codes with locality are a class of codes which minimize the number of nodes accessed to repair a failed node. These codes can be used to handle single and multiple erasures. In an extension, codes with hierarchical locality have been proposed, which offer multiple levels of locality as the number of erasure increase. Given the constraints imposed by locality, maximally recoverable codes (MRC) are a class of codes which allow for recoverability from all information theoretically recoverable erasure patterns. In this work, we consider MRC for the case of codes with hierarchical locality. We derive a field size lower bound on MRC with hierarchical locality. We also give constructions of MRC with hierarchical locality for some parameters, whose field size is smaller than that of earlier known constructions.
D. Shivakrishna, Aaditya M. Nair, V. Lalitha 0001
ISIT2