A Comparison of Data Forwarding Schemes for Network Resiliency in Software Defined Networking
Bibliographic record
Abstract
Abstract Software defined networking (SDN) is a recent networking architectural framework which aims to provide the complete separation of data plane and control plane. Openflow is a well-known architecture that facilitates SDN. The core idea of Openflow is to control the switch or router through programming from the centralized controller. The connection reliability is a major concern for the network service providers. The analysis of network resiliency is required for this new paradigm. The resiliency is the network's ability to survive against attacks and other component failures. This paper focuses on a comparison of different data forwarding algorithms currently supported by the POX standards for protection and restoration. Understanding existing approaches or standards in SDN plays a crucial role in network resiliency or protection and restoration. We also provide the extension of one of the components in POX for improvement. The restoration scheme in the current POX components as well as in the modified component is evaluated and compared.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.006 | 0.003 |
| 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".