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Record W2081964902 · doi:10.1109/mcom.2008.4463776

Ethernet data plane evolution for provider networks [next-generation carrier ethernet transport technologies]

2008· article· en· W2081964902 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Communications Magazine · 2008
Typearticle
Languageen
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsNortel (Canada)
FundersUniversity of Waterloo
KeywordsCarrier EthernetComputer scienceComputer networkEthernet over PDHMetro EthernetVirtual LANEthernetATA over EthernetEthernet over SDHEthernet flow control

Abstract

fetched live from OpenAlex

This article provides an overview of the evolution of the Ethernet data plane. In particular, it focuses on the emergence of features that have made Ethernet an attractive infrastructure technology option for carriers and network providers. These include the development of data plane maintenance protocols (OAM), and scaling enhancements, initially in the form of VLANs, then VLAN stacking (802.lad), and more recently complete recursion of headers (802.lah). The complete recursion of headers has led to the ability to decouple the infrastructure data plane from traditional bridging behavior while preserving other desirable attributes, leading to new approaches to operating Ethernet networks such as PBB-TE.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0080.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.105
GPT teacher head0.287
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it