Bibliographic record
Abstract
On-demand media streaming has gained considerable attention in recent years owing to its promising usage in a rich set of Internet-based services such as movies on demand and distance learning. However, the current solutions for on-demand media streaming, primarily based on the client-server model, are not economical and not scalable due to the high cost in deploying the servers and the heavy media traffic overload on the servers. We propose a scalable cost-effective P2P solution, called Bit-Vampire, that aggregates the peerspsila storage and bandwidth to facilitate on-demand media streaming. In this talk, we will discuss the state-of-the-art of P2P on-demand video streaming and in particular present a novel category overlay P2P architecture that enables efficient content search, called COOL (CategOry OverLay) search, and the concept of Bit-Vampire that makes use of COOL search and a scheduling algorithm for efficient concurrent media streaming from multiple peers. Other related practical issues such as efficient pre-release distribution for flash crowd congestion avoidance are also discussed. A movie streaming demo is also presented to illustrate the application of Bit-Vampire that will enable the ldquoInternet DVD playerrdquo technology in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.003 | 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 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".