Deployment of an advance metropolitan gigabit Ethernet network: experience from the Attica Telecom case
Bibliographic record
Abstract
href="http://www.osa-jon.org/virtual_issue.cfm?vid=7" Feature Issue on Optical Ethernet (OE). Since the introduction of Ethernet technology in the 1980s, Ethernet has undergone major modifications and recent advances such as the support of 10 G interfaces, the resilient packet ring (RPR) standard, the Ethernet passive optical networks (EPONs), and so on have transformed Ethernet from a dominant local area network (LAN) networking technology to a key, flexible and cost-effective networking technology for metropolitan area networks (MANs). The purpose of this paper is to assess Ethernet maturity for deployment in MANs, based on different assessment criteria such as service provisioning and delivery (scalability issues related to the media access control (MAC) addresses and the supported number of virtual LAN identifiers), network protection and restoration as well as network and service management (provisioning of Ethernet services, fault identification, and monitoring). This assessment is based on a real-case scenario of deploying an advance metropolitan gigabit Ethernet network from a network service provider in Greece, Attica Telecom.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".