An integrated architecture enabling different resource sharing schemes for AAPN networks
Bibliographic record
Abstract
The single-hop star-based network is proposed as a feasible topology to fit the rapidly-increasing bandwidth requirement in the AAPN research project. This paper investigates the node architecture to implement all-optical operations in such a network using available technologies. Based on the node placement in the network, two architectures are designed, one is placed in the edge and another one is used in the core. The edge node is a multi-stage electronic/optic switch, which aggregates legacy traffics and transmits them to the core node, or accepts optical messages from the core node and sends them to legacy networks. Each stage uses either electronic or optical components to implement signal storage, conversion or transmission. The core node is an all-optical switch which switches optical signals in different wavelength planes, while the controlling part works in electronic domain. A separate control plane is designed to manipulate the operation of different component devices. This system provides a common platform for the overlaid-star network. By introducing synchronization or not, we can employ reservation-based optical time-division-multiplexing (OTDM) or contention-based optical burst switching (OBS) in the designed architecture. No wavelength conversion or optical buffering is necessary by agilely scheduling the messages in both mechanisms. Our research is an efficient and feasible solution which satisfies the transmission requirement by taking into account of technological availability. Our design is supported by the performance evaluation of OTDM and OBS methods, and their comparisons under different scenarios.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".