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Record W1977727711 · doi:10.1117/12.633443

Path-protecting p -cycles and the protected working capacity envelope concept: addressing the needs of dynamic transparent optical networks

2005· article· en· W1977727711 on OpenAlexaff
W.D. Grover

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceSurvivabilityBackupProvisioningComputer networkPath protectionScalabilityPath (computing)Distributed computingWavelength-division multiplexing

Abstract

fetched live from OpenAlex

Two important aspects of optical networking are to ensure transmission integrity when connecting optically transparent channels in real time for protection, and the handling of dynamic demand, especially when survivability considerations are added. The prevalent approach for providing protected dynamic lightpath services is signaling intensive, database dependent, and requires on-the-fly cross-connection of standby lightwave channels to form protection paths. With two inter-related new concepts, we address concerns about on-the-fly concatenation of transparent optical channels to form protection paths and improve the scalability, and reduce database dependence and signalling intensity associated with current methods. An extension of the <i>p</i>-cycles concept to end-to-end path protection, in conjunction with the concept of a protected working capacity envelope for dynamic provisioning (which has no per-connection signaling for backup path establishment) yields a highly efficient network architecture in which protection paths are fully pre-cross-connected prior to failure and only the two lightpath end-nodes need to detect path failure and switch the lightpath (or its traffic) into a corresponding pre-planned path-protecting <i>p</i>-cycle.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Optical Network TechnologiesFrench-language works237,207