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Record W1483294334 · doi:10.1109/syscon.2015.7116771

Hard Real-Time scheduling on a multicore platform

2015· article· en· W1483294334 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
TopicReal-Time Systems Scheduling
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMulti-core processorComputer scienceScheduling (production processes)Embedded systemReal-time operating systemParallel computingEngineering

Abstract

fetched live from OpenAlex

Multicore microcontrollers are rapidly penetrating the real-time systems market with a promise of increased processing throughput and lower energy consumption compared to traditional single-core processors. Consequently, it sparked a wave of research in Soft Real-Time (SRT) scheduling algorithms for multicore processors producing many different scheduling algorithms that are good at harnessing the added power of the multicore processors but lack the required determinism to be used in Hard Real-Time (HRT) systems.We present the Multicore Priority Ceiling Protocol scheduling algorithm for HRT systems along with its schedulability test for HRT systems running on a single instance of a modified RTOS. We also developed a tool that uses our schedulability test to solve the task partitioning problem using a Particle Swarm Optimization.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.005

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 head0.061
GPT teacher head0.275
Teacher spread0.214 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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