Demo Data from EDBT 2026 / reviewers in the wild / expert
Camilo H. Viecco
dblp:78/4655
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 · 77% High-performance computing · 23% | |
| Computer networks
1 paper |
Network measurement and analytics · 100% |
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
workload characterization |
0.1 | 1 | 2006 | Grid networks and portals - Revisiting web server workload invariants in the context of scientific web sites · SC 2006 |
Network measurement and analytics › traffic analysis
web traffic analysis |
0.0 | 1 | 2006 | Grid networks and portals - Revisiting web server workload invariants in the context of scientific web sites · SC 2006 |
Methods — techniques the papers use, named apart from their topics
workload invariant analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Grid networks and portals - Revisiting web server workload invariants in the context of scientific web sitesabstractThe Web has evolved much from when Arlitt and Williamson proposed the ten Web workload invariants more than a decade ago. Many diverse communities now depend on the Web in their day-to-day lives. A current knowledge of the invariants for the Web is useful for performance enhancement and for synthetic Web workload generation. Invariants can also serve as a useful tool for detecting anomaly and misuse, a new dimension of Web usage arising from the change in trust assumptions in the Internet in the recent years. Focusing on scientific Web servers, we revisit the Web server workload invariants and find that only three out of the ten invariants hold as-is. We investigate appropriate revisions to the invariants that do not hold and also propose three new invariants for scientific Web servers. Anne M. Faber, Camilo H. Viecco |
SC | 3 |