Extending the Network Service Descriptor to Capture User Isolation Intents for Network Slices
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 network slicing paradigm allows for partitioning a common network infrastructure into logical networks, i.e. network slices, tailored to specific user intents, including intents for isolation, security or performance reasons. A user may require isolation at different scopes: for the entire network slice, for the network slice subnets or for its composing network functions. Considering the relation between network slicing and Network Function Virtualization (NFV), the intents for isolation need to be mapped to and reflected in the descriptor(s) of network service(s) supporting the network slice(s). However, the network service descriptor (NSD) as defined today cannot capture all the network slice isolation requirements to be enforced during instantiation and at runtime. To overcome some of these limitations we propose extensions to the NSD based on our mapping of different isolation intents of the user to the NSD. We also show how to process the NSD extensions at instantiation and at runtime.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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