Providing soft real‐time quality of service guarantees for Java threads
Bibliographic record
Abstract
Abstract The Java platform has many characteristics that make it very desirable for integrated continuous media processing. Unfortunately, it lacks the necessary CPU resource management facilities to support quality of service (QoS) guarantees for soft real‐time multimedia tasks. In this paper, we present our new Java Virtual Machine, Q‐JVM, which brings CPU resource management to the Java platform. Q‐JVM is based on Sun's JVM version 1.1.5. It implements an enhanced version of the MTR‐LS algorithm in its thread scheduler. Combined with admission control that could be implemented in an application‐level resource manager, it is able to support QoS parameters such as fairness, bandwidth partitioning and delay bound guarantees, as well as the cumulative service guarantee. Our test results show that Q‐JVM is backward compatible with the standard JVM from Sun, has low scheduling overhead, and is able to provide QoS guarantees as specified. Copyright © 2003 John Wiley & Sons, Ltd.
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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 | 0.001 | 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".