Efficient management data acquisition and run-time control of DCE applications using the OSI management framework
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 goal of a management system in a distributed computing environment (DCE) is to provide a centralized and coordinated view of an otherwise distributed and heterogeneous collection of hardware and software resources. The management software required to achieve this goal will, within a policy framework, monitor, analyze and control network resources, system services and distributed application programs. In our research, we are investigating the use of the Open System Interconnection (OSI) network management standards as a basis for a generic architecture around which such management systems can be built. We are particularly interested in the suitability and flexibility of the OSI standards in the context of managing application programs. The work described in this paper focusses on the efficiency and dynamic control of management data acquisition and on the run-time control of application programs. We describe a prototype management system which has been developed to explore these issues in the management of DCE applications.
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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 | 0.001 | 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