Demo Data from EDBT 2026 / reviewers in the wild / expert
Terri Stewart
dblp:82/4507
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 |
Performance modeling and evaluation · 44% Embedded and real-time systems · 44% Processor architecture and microarchitecture · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › performance monitoring
operating system performance measurement |
0.0 | 1 | 1986 | Measuring Operating System Performance on Modern Micro-Processors · SIGMETRICS 1986 |
Embedded and real-time systems
real-time operating systems |
0.0 | 1 | 1986 | Measuring Operating System Performance on Modern Micro-Processors · SIGMETRICS 1986 |
Methods — techniques the papers use, named apart from their topics
resource-consumption analysis · 0.0performance measurement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Measuring Operating System Performance on Modern Micro-ProcessorsabstractThe use of micro-processors and commercial operating systems in real-time applications demands a good understanding of factors which influence software performance. Advances in micro-processor design (e.g. pipelining) make performance prediction based on instruction cycle counts difficult. In addition, the increasing complexity of operating systems raises doubts about our ability to ensure that their performance will meet system requirements. Performance measurement is more important than ever. This paper describes an ongoing project intended to use performance measurements to characterize the performance of real-time systems software. To date the project has conducted extensive experiments on an in-house operating system running on Intel's 286/10 micro-computer in order to test the feasibility of accurate and repeatable measurement of O/S performance. The measurement approach, which views the software from a resource-consumption standpoint, can be applied to both O/S and application level software. Some of the measurement results are presented here and are used to test the manufacturer's assumptions about the hardware's performance. Rami R. Razouk, Terri Stewart |
SIGMETRICS | 2 |