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Record W1971668188 · doi:10.1177/0037549702078004543

Simulation of an Integrated Architecture for IP-over-ATM Frame Processing

2002· article· en· W1971668188 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSIMULATION · 2002
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceEmbedded systemComputer hardwareSoftwareDuplex (building)Frame (networking)ChipComputer architectureComputer networkOperating system

Abstract

fetched live from OpenAlex

The performance of an integrated architecture for full-duplex IP-over-ATM processing is evaluated through detailed simulation. The architecture combines processing, memory, and multiple direct-memory-access engines for single-chip implementation. The simulation models the segmentation and reassembly operations needed to translate IP frames to and from a fixed ATM cell size. A key operation is the insertion of a virtual path and virtual channel identifier (VPI/VCI) into the outgoing ATM cells. Software-based VPI/VCI insertion provides flexibility but requires the on-chip processor to perform this function. Hardware-based VPI/VCI insertion is an optimization that requires one of the direct-memory-access engines to perform this task. The two approaches are evaluated through simulated execution of representative control software with detailed modeling of all on-chip components. Results indicate that software-based VPI/VCI insertion supports full-duplex traffic at 475 Mbps on a 500-MHz processor and that hardware-based VPI/VCI insertion supports full-duplex traffic at 560 Mbps on a 500-MHz processor.

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: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.358

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 communication0.0000.001
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 head0.029
GPT teacher head0.287
Teacher spread0.258 · 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