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Record W2171922330 · doi:10.1109/iscc.2002.1021783

Capacity-balanced alternate routing for MPLS traffic engineering

2003· article· en· W2171922330 on OpenAlexaff
Pin‐Han Ho, Hussein T. Mouftah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceComputer networkMultiprotocol Label SwitchingRouting (electronic design automation)Distributed computingStatic routingNetwork topologyEqual-cost multi-path routingTraffic engineeringPolicy-based routingRouting domainHierarchical routingRouting protocolTopology (electrical circuits)EngineeringQuality of service

Abstract

fetched live from OpenAlex

This paper solves the problem of path selection for connection-oriented MPLS-based mesh networks with a special focus on implementation issues in middle-sized networks, such as metropolitan-area networks (MANs). A novel network planning algorithm, called capacity-balanced alternate routing (C-BAR), is proposed. For C-BAR, alternate paths between each ingress-egress pair are defined at a network planning stage according to the network topology and potential traffic load and location of each ingress-egress pair so that load-balancing can be achieved in routing label switched paths (LSPs). Both analytical and simulation-based studies have been conducted to examine the proposed approach. The results show that the C-BAR algorithm can significantly improve the performance in blocking probability by spreading potential traffic to the whole network compared with other reported connection-oriented routing schemes.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.432
Threshold uncertainty score0.661

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 head0.013
GPT teacher head0.209
Teacher spread0.196 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2003
Admission routes1
Has abstractyes

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