Demo Data from VLDB 2026 / reviewers in the wild / expert
Robert G. Cantarella
dblp:04/3827
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware reliability and fault tolerance · 75% Storage systems · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › redundancy
parallel redundant systems |
0.0 | 1 | 1983 | The Reliability of Periodically Repaired n - l/n Parallel Redundant Systems · IEEE Trans. Computers 1983 |
Hardware reliability and fault tolerance › reliability modeling
periodically repaired systems |
0.0 | 1 | 1983 | The Reliability of Periodically Repaired n - l/n Parallel Redundant Systems · IEEE Trans. Computers 1983 |
Hardware reliability and fault tolerance
redundancy |
0.0 | 1 | 1983 | The Reliability of Periodically Repaired n - l/n Parallel Redundant Systems · IEEE Trans. Computers 1983 |
Storage systems
repair |
0.0 | 1 | 1983 | The Reliability of Periodically Repaired n - l/n Parallel Redundant Systems · IEEE Trans. Computers 1983 |
Methods — techniques the papers use, named apart from their topics
markov modeling · 0.0failure rate analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | The Reliability of Periodically Repaired n - l/n Parallel Redundant SystemsabstractThe average failure rate of an n − 1/n parallel redundant system of n identical elements, each of which has a constant failure rate of λ, that is repaired every T hours can be approximated by the upper bound n(n − 1)λ2T/2. If λT < 1, the ratio of the upper bound to the actual average failure rate is less than or equal to I + (n −)λT/I − λT/2. These formulas provide a convenient method for predicting the reliability of such systems with a quantitative error bound. Robert G. Cantarella |
IEEE Trans. Computers | 1 |