A multi-commodity flow based approach to virtual network resource allocation
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 virtual network (VN) concept has been studied as a useful mean in supporting rapid service creation and deployment. This paper proposes a scheme for allocating resources to VNs with the objective of maximizing the number of VNs that can be accommodated into a network. In our scheme, resources are pre-allocated for each pair of edge nodes, using the solution to the multi-commodity flow problem. A VN creation request consists of a set of edge node pairs and the bandwidth requirements between each pair. A request is satisfied or accepted by utilizing the pre-allocated resource and possibly the residual resource pool after pre-allocation. Extensive simulation studies show that the proposed scheme accepts more VN requests and yields better network resource utilization over traditional approaches. Service providers may potentially boost revenue by a simple switch to a more intelligent resource allocation scheme.
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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 | 0.001 |
| 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