Demo Data from EDBT 2026 / reviewers in the wild / expert
Ruben Yomtov
dblp:178/5711
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 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 |
Storage systems · 44% Memory systems · 44% Performance modeling and evaluation · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › cache management › storage caching
disk cache |
0.0 | 1 | 1992 | Performance evaluation of disk subsystems · ISCA 1992 |
Storage systems › storage architecture
disk systems |
0.0 | 1 | 1992 | Performance evaluation of disk subsystems · ISCA 1992 |
Performance modeling and evaluation › storage performance evaluation
i/o performance modeling |
0.0 | 1 | 1992 | Performance evaluation of disk subsystems · ISCA 1992 |
Methods — techniques the papers use, named apart from their topics
analytical modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Performance evaluation of disk subsystemsabstractMainframe Central Processor Unit (CPU) speed/performance has increased by more than two orders of magnitude since the 1970's. However, the I/O subsystem performance has only quadrupled in the same period of time. There is a need for a computer architecture with an effective storage hierarchy to complement improvements made in the CPU performance. This paper presents a technique to calculate the I/O performance of disk subsystems with and without disk cache buffers. Through a series of calculation it is shown that the best way to improve I/O performance is to increase the number of data paths and use disk memory caching. Ruben Yomtov |
ISCA | 1 |