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
Shortest path first (SPF) routing protocols, such as OSPF and IS-IS are currently the dominant intra-domain IP routing protocols and are widely used in the ISP backbones. Although the traffic on the Internet is highly dynamic, OSPF and IS-IS are not adaptive to the changing traffic, because the shortest path generated by these protocols are based on the link weights, which are fixed and usually can not be changed during network operation. This paper investigates a way of changing the weights in OSPF/IS-IS adaptively according to the changing traffic load on the links. The feedback effect and the stability issue of adaptive routing are analyzed from a control system point of view. The paper shows why minimal-delay adaptive routing, such as the routings in the early ARPANET, is not stable, and proposes some techniques to make our load-sensitive adaptive routing (LSAR) stable. Finally, the performance of LSAR is evaluated by simulation. The result shows that LSAR can significantly improve the QoS of the network by increasing network throughput and reducing packet drop ratio.
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) | 0.000 | 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 it