Demo Data from EDBT 2026 / reviewers in the wild / expert
D. Shivakrishna
dblp:164/5565
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2023
0000-0003-3276-0453ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 2 since 2021Theory of computation · 1 · 1 first-author · 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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
error-correcting codes |
0.7 | 1 | 2023 | Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size Bounds · IEEE Trans. Inf. Theory 2023 |
Coding theory › error-correcting codes
locally recoverable codes |
0.7 | 1 | 2023 | 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 |
0.7 | 1 | 2023 | 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 |
0.2 | 1 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Maximally Recoverable Codes With Hierarchical Locality: Constructions and Field-Size BoundsabstractMaximally 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. Theory | 1 |
| 2022 | Some Results on Maximally Recoverable Codes with Locality and Hierarchical LocalityabstractCodes with locality allow for efficient recovery from single node failures by minimizing the number of nodes accessed to repair a failed node. These codes can also be extended to handle multiple erasures. Codes with hierarchical locality are another extension of codes with locality, which offer multiple levels of locality as the number of erasures increase. Maximally recoverable codes (MRC) are a class of codes, which satisfy the locality property and in addition also recover from all information theoretically recoverable erasure patterns. In this work, we construct MRC with hierarchical locality based on generator matrices of linearized Reed-Solomon codes and the field size is better than the earlier known construction. We also give a random construction of MRC with hierarchical locality and characterize the field size required. Finally, we present sparse generator matrices for MRC with locality and also sparse and balanced generator matrices for MRC with locality parameter 2 for large set of parameters. D. Shivakrishna, V. Lalitha 0001 |
ISIT | 1 |
| 2021 | A Field Size Bound and Constructions of Maximally Recoverable Codes with Hierarchical LocalityabstractCodes 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 |
ISIT | 1 |