Partition-Tolerant Distributed Publish/Subscribe Systems
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we develop reliable distributed publish/subscribe algorithms that can tolerate concurrent failure of up to d broker machines or communication links. In our approach, d is a configuration parameter which determines the level of fault-tolerance of the system and reliability refers to exactly-once and per-source, in-order delivery of publications to clients with matching subscriptions. We propose protocols to address three problems in presence of broker or link failures: (i) subscription propagation, (ii) publication forwarding, and (iii) broker recovery. Finally, we study the effectiveness of our approach when the number of concurrent failures exceeds d. Through large-scale experimental evaluations with up to 500 brokers, we demonstrate that a system configured with a modest value of d = 3 is able to reliably deliver 97% of publications in presence of failure of up to 17% of its brokers.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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