Demo Data from EDBT 2026 / reviewers in the wild / expert
G. E. Bryan
dblp:124/5941
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1969
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software 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.
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › resource management › process management › multiprogramming
time-sharing systems |
0.0 | 1 | 1969 | The UTS time-sharing system: performance analysis and instrumentation · SOSP 1969 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1969 | The UTS time-sharing system: performance analysis and instrumentation · SOSP 1969 |
Methods — techniques the papers use, named apart from their topics
mathematical modeling · 0.0instrumentation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1969 | The UTS time-sharing system: performance analysis and instrumentationabstractAn approach is presented to analyzing and controlling hardware and software configurations of a time-sharing system given its load characteristics and desired performance. A mathematical model is developed which predicts response time to both interactive terminal requests and to compute bound programs. Estimates are obtained which relate performance to CPU load, file I/O load, and swap I/O load. Instrumentation contained within the UTS time-sharing system measures actual load and actual response during system operation, These measures suggest standards by which both load and response of time-shared systems could be compared, Extrapolation of the modeled and measured results allows prediction of performance for a variety of hardware configurations and user loads. Administrative controls allow dynamic tuning of the system during actual operation utilizing displays of current performance. G. E. Bryan, Jack E. Shemer |
SOSP | 1 |