sPing: a user‐centred debugging mechanism for software defined networks
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
Software defined networking (SDN) paradigm currently does not integrate with any debugging or diagnosing mechanism. Services through Internet connection may not work properly due to network problems, such as loop and black hole problems. The study introduces sPing, a user‐centred debugging mechanism for users debugging and troubleshooting network problems in SDN. The sPing diagnoses problems in data plane by collecting and recording specific packets based on programmable capability. It not only detects network loop and black hole but also discovers the hidden information of data link layer. The discovery of layer 2 information is unachievable to existing SDN‐based debuggers. The authors experiment the sPing on three different brands of SDN switches for verifying its proof of concept, and simulate it in the Mininet emulator for evaluating its performance. Results showed that the proposed sPing mechanism assists SDN users in debugging network problems and in maintaining network functionalities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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