Scheduling for integrated services in next generation packet broadcast 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
In future wireless packet networks, it is anticipated that a wide variety of applications, ranging from WWW browsing to E-mail service, and real-time services like packetized voice and digital videoconference, will be supported with varying levels of quality of service (QoS). There is a need for packet scheduling schemes that effectively provide QoS guarantees and at the same time are simple to implement. This paper focuses on the scheduling of fixed sized packets or data segments over the downlink of a TDMA/TDD wireless interface. The proposed scheduling mechanism is based on the token bank leaky bucket mechanism, which integrates the policing and servicing functions and keeps track of the potential of each connection. This results in lower packet delay, jitter and violation probability. The performance is evaluated using computer simulations. The performance measures are packet delay, jitter, violation probability, degree of multiplexing, and throughput. The trade-off between these parameters is exploited.
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