Performance evaluation of optimal wavelength allocation and flow assignment for optical networks using profit maximization under demands uncertainty
Bibliographic record
Abstract
Transport service providers need control and optimization strategies for wavelength management, network provisioning, restoration and protection, allowing them to define and deploy new services offers. In the paper, we further investigate a demand elasticity based model for wavelength and flow assignment in multiwavelength optical networks, proposed in previous works of the authors. This model assumes that the physical and logical topology of the optical network and the total utilization cost for all physical links are known parameters. It is further assumed that the transport service provider operates as monopolist on the telecommunication market. A mixed integer optimization is employed to determine wavelength allocation and flow assignment of the requested traffic demand. One of the novelties introduced by the authors in their previous works is the optimization cost function, used for the profit maximization of the transport service supplier. The novelty in this paper is taking into consideration the bandwidth demand uncertainty as one of the key factors in estimating the transport service provider's profit. Case studies and performance evaluation are presented.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".