CIM and XML in network management
Bibliographic record
Abstract
The use of Directory Enabled Networks (DENs) simplifies the tasks of network administrators. DEN uses directory as a special purpose database that contains information about the nodes, or devices, attached to a network. The directory is structured around network objects: users, applications, printers, file servers, switches, routers, remote access servers, etc. For each object there is a set of attributes stored in the database. Directory support for device configuration management will enable network devices to retrieve their configuration parameters from a directory server, rather than requiring the network manager to perform box-by-box configuration. The Distributed Management Task Force (DMTF) Common Information Model (CIM) presents a consistent view of the managed environment that is independent of the various protocols and data formats used by those devices and applications. It can be used to describe network objects. The thesis presents detailed description of DEN and CIM. It also introduces XML (eXtensible Markup Language), which is powerful enough to express complex data structures to satisfy the need of complex applications. (Abstract shortened by UMI.)
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.011 | 0.018 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.008 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".