Hybrid cache invalidation schemes in mobile environments
Bibliographic record
Abstract
To make cached data consistent, the server periodically broadcasts an invalidation report to all mobile clients in its cell so that each can invalidate obsolete data items from its local cache. In this paper, we present two hybrid cache invalidation schemes: Hybrid cache invalidation with Simple Broadcasting (HSB), and Hybrid cache invalidation with Attribute Bit Sequence Broadcasting (HABSB). In these schemes the server is stateful as it stores the caching information of each mobile client in its cell to allow for long disconnections. However, the server periodically broadcasts an invalidation report similar to a stateless server. In HABSB, attribute bit sequences are added in each broadcasted invalidation report to maximize the cache-hit ratio and to reduce the data transmission of queried data items. The simulation results show that HSB and HABSB can significantly reduce the bandwidth requirement, and HABSB is very efficient in improving mobile caching.
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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 | 0.001 | 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".