WebTraff: a GUI for Web proxy cache workload modeling and analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper describes an interactive graphical user interface (GUI) that can be used for the modeling and analysis of Web proxy workloads. The WebTraff GUI has three main components. First, the WebTraff tool provides a visual front-end to ProWGen, a Web proxy workload generation tool developed in prior work (see Busari, M. and Williamson, C., Computer Networks, vol.38, no.6, p.779-94, 2002), which can be used for generating synthetic Web proxy workloads of arbitrary length, with user-specified statistical properties. Second, the WebTraff GUI provides tools for the analysis of Web proxy workload characteristics, including document size distribution, document popularity profile, and temporal locality properties. Third, the GUI provides a front-end to a simple Web proxy cache simulation program, which can be used in studies of Web proxy cache performance and cache filter effects.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it