Adaptive Deadlock Detection and Resolution in Real-Time Distributed Environments
Bibliographic record
Abstract
In real-time distributed transaction processing, deadlocks must be detected and resolved. Timeouts are not a viable option because they lead to lost work and missed deadlines. We have proposed a suite of deadlock detection protocols and a resolution protocol which carry a varying degree of (generally low) overhead. The protocols behave differently under varying load conditions and transaction characteristics. Further, the invocation period of these protocols can be controlled to improve performance when the overhead tends to become large. The performance of these protocols has been demonstrated using a distributed real-time transaction processing simulator which provides an interactive interface to set parameters, and also has provisions to select from a variety of concurrency control, priority assignment, workload distribution and other protocols. The impact of transaction workload, underlying system configuration, resource availability, detection rates, and congestion on each of the proposed protocols is observed and presented. In general, the multi-cycle detection protocol demonstrated the most superior performance over a broad range of parameters. The results presented in this paper were obtained from over 147,000 simulations.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".