Demo Data from EDBT 2026 / reviewers in the wild / expert
Hidehiro Miyajima
dblp:03/3177
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1985
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1
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 |
Distributed systems · 81% Storage systems · 19% | |
| Databases, data mining, and information retrieval
1 paper |
Distributed and cloud data management · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
replication |
0.0 | 1 | 1983 | File Redundancy Issues in Distributed Database Systems · VLDB 1983 |
Distributed and cloud data management › data placement
file allocation |
0.0 | 1 | 1985 | Evaluation of the File Redundancy in Distributed Database Systems · IEEE Trans. Software Eng. 1985 |
Distributed systems
distributed database |
0.0 | 1 | 1983 | File Redundancy Issues in Distributed Database Systems · VLDB 1983 |
Storage systems
storage reliability |
0.0 | 1 | 1983 | File Redundancy Issues in Distributed Database Systems · VLDB 1983 |
Methods — techniques the papers use, named apart from their topics
queueing model · 0.0network modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | Evaluation of the File Redundancy in Distributed Database SystemsabstractThis paper treats the file redundancy issue in distributed database systems, asking what is the optimal number of file copies, given the ratio r of the frequency of update requests to the frequency of all file access requests (i.e., queries and updates). Formulations of this type of problem, including optimal file allocation, have been attempted by a number of authors, and some algorithms have been proposed. Although such algorithms can be used to solve particular problems, it seems difficult to draw general conclusions applicable to a wide variety of practical distributed database systems. To probe into this hard to formulate but interesting problem, our paper constructs simplified network models of distributed database systems, and computes the optimal number of file copies, as well as their locations, to minimize the communication cost. For several network types, we plot the optimal number of file copies as a function of the ratio r. Shojiro Nishio, Toshihide Ibaraki, Hidehiro Miyajima, Toshiharu Hasegawa |
IEEE Trans. Software Eng. | 3 |
| 1983 | File Redundancy Issues in Distributed Database Systems
Shojiro Nishio, Toshihide Ibaraki, Hidehiro Miyajima, Toshiharu Hasegawa |
VLDB | 3 |