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Record W2101252418 · doi:10.1109/ccece.2005.1557033

Fault-tolerant scheduling of real-time tasks having software faults

2006· article· en· W2101252418 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicReal-Time Systems Scheduling
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceFixed-priority pre-emptive schedulingScheduling (production processes)Fair-share schedulingEarliest deadline first schedulingDynamic priority schedulingTwo-level schedulingEthernetDistributed computingEmbedded systemRate-monotonic schedulingRound-robin schedulingReal-time computingParallel computingOperating systemScheduleEngineering

Abstract

fetched live from OpenAlex

This paper investigates the problem of fault-tolerant scheduling of a set of real-time tasks where each task has primary and alternate implementations. Similar scheduling problem has been studied before, however, we propose an enhanced scheme for scheduling real-time periodic tasks with software faults. Alternate-primary recovery (APR) based scheduling employs a special backup-primary that can replace the primary when it fails often. The new scheduling technique saves the CPU time wasted on executing of unsuccessful primaries again and again. APR scheduling is implemented and tested for a TRC (TCP-to-RS232 converter) embedded system that connects Ethernet to serial-RS232 devices. It is also compared with an existing fault-tolerant scheduling method to verify the proposed enhancement

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 categoriesMeta-epidemiology (narrow)
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 score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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

Citations1
Published2006
Admission routes2
Has abstractyes

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