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Record W2095418786 · doi:10.1109/ondm.2008.4578414

Availability-aware design in FIPP p-cycles protected mesh networks

2008· article· en· W2095418786 on OpenAlex
Amin Ranjbar, Chadi Assi

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsUnavailabilitySpare partRedundancy (engineering)Computer scienceComputer networkPath (computing)Path protectionDistributed computingReliability engineeringEngineeringOperating system

Abstract

fetched live from OpenAlex

Failure-independent path-protecting (FIPP) p-cycle is an extension of the basic p-cycle and an alternative approach for providing fully pre-connected protection paths with end-to-end failure-independent path protection property. We study the unavailability of end-to-end traffic in FIPP based mesh networks, which are designed to protect against single failures and present an availability-aware network design method. Our results show that although FIPP is more efficient in terms of spare capacity redundancy than basic p-cycle (Kodian et. al, 2005 ), when the network design limits the service unavailability, FIPP tends to be less efficient and its redundancy is 8-13% more than basic p-cycle. We present our analysis and discussions on these findings.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.021
GPT teacher head0.218
Teacher spread0.197 · 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

Quick stats

Citations5
Published2008
Admission routes1
Has abstractyes

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