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Record W2103438486 · doi:10.1109/glocom.2004.1378208

A fuzzy constraint-based routing algorithm for traffic engineering

2005· article· en· W2103438486 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDijkstra's algorithmComputer scienceEqual-cost multi-path routingSuurballe's algorithmRouting (electronic design automation)Network packetConstraint (computer-aided design)Blocking (statistics)Path (computing)Load balancing (electrical power)AlgorithmStatic routingTraffic engineeringLink-state routing protocolShortest path problemFuzzy logicDistributed computingComputer networkRouting protocolMathematicsTheoretical computer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

We propose a low-complexity constraint-based routing algorithm for traffic engineering in packet networks that route end-to-end packet flows. The proposed fuzzy routing algorithm (FRA) modifies the well-known Dijkstra's single-source shortest paths algorithm by using fuzzy-logic membership functions in the path-cost update process. The main objective of FRA is to reduce path-request blocking and increase overall network utilization. To achieve this objective, the algorithm computes new routes based on network-wide load balancing constraints. Simulation results show that FRA outperforms several earlier algorithms in terms of load balancing and path-request blocking.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.473

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations20
Published2005
Admission routes1
Has abstractyes

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