A policy management framework for content-based publish/subscribe middleware
Why this work is in the frame
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Bibliographic record
Abstract
Abstract. Content-based Publish/Subscribe (CPS) is a powerful paradigm providing loosely-coupled, event-driven messaging services. Although the general CPS model is well-known, many features remain implementation specific because of different application requirements. Many of these requirements can be captured in policies that separate service semantics from system mechanisms, but no such policy framework currently exists in the CPS context. In this paper, we propose a novel policy model and framework for CPS systems that benefits from the scalability and expressiveness of existing CPS matching algorithms. In particular, we provide a reference implementation and several evaluation scenarios that demonstrate how our approach easily and dynamically enables features such as notification semantics, meta-events, security zoning, and CPS firewalls. Key Words: Publish/Subscribe, Policy, Security, Configurability 1
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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