Making distributed applications manageable through instrumentation
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 is to provide a centralized and coordinated view of an otherwise distributed and heterogeneous collection of hardware and software resources. Management systems monitor, analyse and control network resources, system resources, and distributed application programs. Many organizations currently depend on mission-critical distributed applications, a trend that will increase as software engineering tools emerge that make it easier to construct distributed applications. We believe that manageability must be built in to distributed applications from the beginning rather than added in an ad hoc fashion after they have been developed. Just as designing software for usability, testability and maintenance are being addressed in the development process, so must designing for manageability. Application manageability is a research issue of particular interest to us. The work described in this paper focuses on instrumenting processes to allow them to respond to management requests, generate management reports, and maintain information required by the management system. We present an instrumentation architecture to support this, a prototype implementation which includes a class library of standard instrumentation, and a methodology for instrumentation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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