QoS routing for MPLS networks employing mobile agents
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
The implementation of new networking technologies, such as multiprotocol label switching and differentiated services, will introduce powerful features to the near-future Internet backbone, making a significant contribution to the overall end-to-end provision of quality of service. However, to achieve such an improvement these technologies require not only effective support from current routing algorithms, but also enhanced capabilities, which are currently being developed. To contribute to this development, a novel and powerful scheme is introduced in this article that provides a means of supporting QoS routing through the use of mobile software agents. Specifically, we describe the use of mobile agents to efficiently realize multipoint-to-point routing trees by means of the Wave paradigm, while satisfying the QoS requirements of the set of traffic streams involved in the process. Both benefits and important issues to be considered when using mobile agent schemes in QoS routing are further stressed.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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