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Record W2318131011 · doi:10.1109/tii.2016.2535255

Integrating Dynamic-TDMA Communication Channels into COTS Ethernet Networks

2016· article· en· W2318131011 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

VenueIEEE Transactions on Industrial Informatics · 2016
Typearticle
Languageen
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsUniversity of Waterloo
FundersCMC Microsystems
KeywordsComputer scienceEthernetJitterTime division multiple accessComputer networkDistributed computingTelecommunications

Abstract

fetched live from OpenAlex

Real-time Ethernet (RTE) is widely recognized for its potential to provide a unified communication backbone for next-generation heterogeneous distributed systems. However, most of the existing research in RTE technologies has traditionally focused on formal models and theoretical analyzes of timing properties, usually omitting the associated implementation challenges for testing them in practice. This gap between theory and practice prevents experimental validation of the claimed properties, which in turn hinders the pace of innovation and adoption of the technology in industrial settings. This paper aims at narrowing the theory-practice gap by characterizing a comprehensive open-source RTE framework that explores emerging challenges in real-time networking, including the provision of ultra-low latency and jitter, dynamic bandwidth management, and segmentation within large networks. This work integrates research on formal abstractions for dynamic time-division multiple access arbitration and technological insights from modern hardware infrastructure, and uses a representative distributed video processing application to provide reproducible evidence of the achieved properties in multihop Ethernet settings. By leveraging readily available technology and an open-source design, the proposed framework facilitates further exploration and experimental validation of properties that are beyond the scope of current commercial technologies, encouraging evidence-based discussions to accelerate development and adoption of new standards for next-generation industrial networks.

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)0.001
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 score0.956
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.248
Teacher spread0.225 · 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