Demo Data from EDBT 2026 / reviewers in the wild / expert
Rod Iversen
dblp:33/1907
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software 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 · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › queueing models › queueing network model
layered queueing networks |
0.0 | 1 | 1999 | Trace-Based Load Characterization for Gernerating Performance Software Models · IEEE Trans. Software Eng. 1999 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1999 | Trace-Based Load Characterization for Gernerating Performance Software Models · IEEE Trans. Software Eng. 1999 |
Performance modeling and evaluation
workload characterization |
0.0 | 1 | 1999 | Trace-Based Load Characterization for Gernerating Performance Software Models · IEEE Trans. Software Eng. 1999 |
Software maintenance and evolution
software performance engineering |
0.0 | 1 | 1999 | Trace-Based Load Characterization for Gernerating Performance Software Models · IEEE Trans. Software Eng. 1999 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Trace-Based Load Characterization for Gernerating Performance Software ModelsabstractPerformance models of software designs can give early warnings of problems such as resource saturation or excessive delays. However models are seldom used because of the considerable effort needed to construct them. The ANGIOTRACE/sup TM/ was developed to gather the necessary information from an executable design and develop a model in an automated fashion. It applies to distributed and concurrent software with synchronous (send-reply or RPC) communications, developing a layered queuing network model. The trace-based load characterization (TLC) technique presented here extends the ANGIOTRACE/sup TM/ to handle software with both synchronous and asynchronous interactions. TLC also detects interactions which are effectively synchronous or partly-synchronous (forwarding) but are built up from asynchronous messages. These patterns occur in telephony software and in other systems. The TLC technique can be applied throughout the software life-cycle, even after deployment. Curtis E. Hrischuk, C. Murray Woodside, Jerome A. Rolia, Rod Iversen |
IEEE Trans. Software Eng. | 4 |