AGeMoS: An Agent-Based Generic Monitoring Approach for Self-Management Systems
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
Self-management is an emerging computing paradigm to deal with the arising complexity in today's cooperative design environment. An essential element of self-management is a monitoring system. This paper proposed an agent-based generic monitoring system (AGeMoS) to integrate multiple probe solutions in order to support the monitoring of various systems in multiple aspects, including functionality, performance and resource utilization. An approach for specifying the monitoring tasks of architectural properties is also proposed. With the autonomy endowed by agent-oriented approach, AGeMoS is capable of automatically configuring the integrated probe solutions and processing the monitoring results according to the architectural properties' specifications at runtime. The proposed approach has been validated through a prototype implementation and experimentation to measure network performance.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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