Reducing the energy consumption of the reliable design of IP/WDM networks with quality of protection
Why this work is in the frame
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Bibliographic record
Abstract
Energy consumption of the telecommunication networks contributes to a large portion of the greenhouse gas (GHG) emissions due to the global electricity consumption. Furthermore, backbone networks dominate the energy consumption of the telecommunication networks by high peak data rates. In this paper, we enhance our previously proposed energy-efficient availability design scheme for IP over WDM (IP/WDM) networks, i.e., Power-Aware Reliable Design (PARD).1 Here, PARD-QoP is proposed which incorporates Quality of Protection (QoP) with power-aware reliable IP/WDM Network design. According to the QoP concept, each connection demand specifies a working bandwidth capacity requirement and a minimum backup capacity requirement. We evaluate the performance of PARD-QoP under the 14-node NSFNET topology for six QoP classes that are uniformly distributed among the connection requests and for various demand sizes. The simulation results show that PARD-QoP enhances its predecessor PARD by 7%-12% in terms of Capital Expenditure (CAPEX), denoting the number of wavelength channels, and by 4%-8% in terms of Operational Expenditure (OPEX), denoting the energy consumption. Moreover, PARD-QoP is shown to differentiate the demands in three availability classes as 99.9%, 99.99% and 99.999% with respect to the backup bandwidth requirements.
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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 | 0.001 |
| 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 | 0.001 |
| 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