DynFilter: limiting bandwidth of online games using adaptive pub/sub message filtering
Why this work is in the frame
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Bibliographic record
Abstract
Multiplayer online games can generate a lot of server-related outgoing bandwidth, due to many factors such as highly variable amounts of players or the gathering of many players towards the same in-game locations. Predicting the exact amount of required bandwidth to support varying conditions can be costly, and players can experience game-wide failures if bandwidth is insufficiently provisioned. We present DynFilter, a game-oriented message processing middleware designed to adaptively filter state update messages for in-game entities located apart, in order to reduce bandwidth needs and stay within predefined quotas. We ran experiments on Amazon EC2 over a prototype game mimicking a FPS and a MMOG. Our results show that DynFilter is properly able to maintain bandwidth use within the pre-established quotas while still maintaining adequate delivery of relevant state update messages.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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