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Record W2155500041 · doi:10.1109/icton.2007.4296255

Adaptive Burst Assembly Mechanism for OBS Networks Using Control Channel Availability

2007· article· en· W2155500041 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
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsComputer scienceOptical burst switchingChannel (broadcasting)Network packetComputer networkControl channelBlocking (statistics)Packet lossThroughputMechanism (biology)Burst switchingTransmission delayTelecommunicationsWirelessWavelength-division multiplexing

Abstract

fetched live from OpenAlex

Burst dropping rate is a major issue for OBS networks. Unlike classical circuit switching, contention between bursts may cause blocking and make consequent loss within the network. Since the network can not carry a burst without its control packet, the control channel must be able to carry the complete BCP load. We propose a new assembly mechanism which takes into account the control channel availability. In this mechanism, a burst is created only if its control packet can be transmitted. We present preliminary results that show how monitoring the control channel in the burst assembly mechanism can significantly improve the network performance. Simulations show that the proposed mechanism changes adaptively the burst length, reduces the possibility of continuous blocking problem, reduces the packets loss rate, and increases the throughput while still satisfying the maximum assembly delay.

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 score0.800
Threshold uncertainty score0.933

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 head0.022
GPT teacher head0.245
Teacher spread0.222 · 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

Citations8
Published2007
Admission routes1
Has abstractyes

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