Collaborative Caching for Video Streaming among Selfish Wireless Service Providers
Why this work is in the frame
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Bibliographic record
Abstract
Video streaming is now at the fingertips of mobile users with recent advances in wireless communications and mobile networking. Caching has been widely deployed by wireless service providers (WSPs) to facilitate video content dissemination. Yet, capacity provisioning of cache servers is challenging given dynamic user demands and limited wireless bandwidth resources available.With increased densities of wireless service deployment, it is common that mobile users are now covered by more than one WSP within a geographical region. This brings both challenges and opportunities towards a collaborative caching paradigm among cache servers that are deployed by different WSPs. This paper explores the benefits of collaborative caching for wireless video streaming services, addressing challenges related to both incentives and truthfulness of selfish WSPs. We propose a collaborative mechanism that aims to maximize the social welfare in the context of Vickrey-Clarke- Groves (VCG) auctions, which encourages cache servers to spontaneously cooperate for trading their resources in a self-enforcing manner. Results from simulations demonstrate significant performance improvements with respect to video streaming quality.
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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 | 0.001 |
| 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 it