Lightpaths on demand: a Web-services-based management system
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
User-controlled optical networks play a key role in supporting electronic transfer of the enormous volumes of data generated in emerging e-science experiments. The ability of users to manage their own resources enables provisioning of bandwidth-guaranteed tunnels on demand without the costs associated with conventional managed services offered by network providers. However, building high-performance user-controlled networks has only become feasible in the last few years, as trends in the telecommunications industry have made it possible for users to purchase installed optical fiber and light it using their own premises equipment. Consequently, suitable network management technologies have not yet evolved. In particular, there is presently no means for users to easily provision bandwidth-guaranteed tunnels across multiple independent management domains. In this article we present a user-controlled lightpath management system that addresses this problem. We begin by reviewing the high-level functionality of the system. Then we examine the software architecture. Finally, we discuss design challenges faced while building the system and propose future extensions.
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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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