A Pure HTTP/3 Alternative to MQTT-over-QUIC in Resource-Constrained IoT
Bibliographic record
Abstract
In this paper, we address the issue of scalable, inter-operable, and timely dissemination of information in resource-constrained IoT. Scalability is addressed by adopting a publish-subscribe architecture. To address interoperable and timely dissemination, we propose an HTTP/3 (H3) solution that exploits the wide-ranging improvements made over H2. We evaluated our solution by comparing it to a state-of-the-art work: MQTT-over-QUIC. Because QUIC and H3 have undergone standardization in tandem, we hypothesized that H3 would take better advantage of QUIC transport than an MQTT mapping would. Performance, network overhead, and device overhead were investigated for both protocols. Our H3-based solution satisfied our timely dissemination requirement by offering a key performance savings of 1 RoundTrip Time (RTT) for publish messages to arrive at the broker. In IoT networks, with typically high RTT, this savings is significant. On the other hand, we found that MQTT-over-QUIC put marginally less strain over the network.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".