Load Balancing Schemes for Distributed Real-Time Interactive Virtual World Simulations
Why this work is in the frame
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Bibliographic record
Abstract
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Over the last several years, there has been tremendous growth in online gaming (i.e. playing games over the internet). The Massively Multiplayer Online Role Playing Game (MMORPG) is one type of online game. An MMORPG is played within a virtual world. Users have an in-game representation, called an avatar, that they control. Typically there are over a thousand avatars in the virtual world at one time. Users use client software to connect to an MMORPG server over the internet. If just one server is used then the number of avatars that can be supported in the virtual world at one time is severely limited. In order to overcome this, a multi-server approach is needed. Unlike traditional load balancing and partitioning schemes, which generally use task partitioning, data partitioning is required in this case. This thesis investigates schemes for partitioning and load balancing MMORPG applications on a network of processors. In particular,
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it