End System Multicast Protocol for Collaborative Virtual Environments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
IP Multicasting has been a crucial requirement of many scalable networked virtual environments by providing an efficient network mechanism through which a sender can transmit its information to a large number of receivers without having to send multiple copies of the same data over a physical link. The widespread deployment of IP Multicast has been slow due to some yet unresolved issues, prompting recent efforts in the development of multicasting protocols at the application layer instead of at the network layer. Most of these protocols address the case of a single source streaming media to a large number of receivers in applications such as video-on-demand or live broadcast. Collaborative and distributed virtual environments exhibit different characteristics that in turn necessitate a different set of requirements for application layer multicast protocols. This paper presents an introduction to application layer multicasting as it relates to distributed and collaborative virtual environments and the development of our own end system multicast protocol for multi-sender virtual teleconference applications.
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.
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 | 0.001 | 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