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Record W2107033871 · doi:10.1109/ccece.2005.1557382

Design of a real-time virtual machine (RTVM)

2006· article· en· W2107033871 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 institutionsUniversity of Calgary
Fundersnot available
KeywordsReal-time operating systemComputer scienceEmbedded systemOperating systemSoftwareVirtual machineJavaEmbedded operating systemArchitectureReal-time communication

Abstract

fetched live from OpenAlex

The commercial software industry has a number of different operating system vendors offering various features. Real-time operating systems (RTOS's) are primarily proprietary, closed source, expensive, and uniquely designed to specific applications. Software designers must examine a given real-time operating system to ensure an RTOS will meet the real-time requirements for an intended platform. An RTOS does often not meet the original real-time constraints, when product evolves to new hardware platforms. This makes the evolution of real-time systems a cumbersome and difficult problem. In this paper we describe a new approach to real-time system development. Instead of reinventing software for a real-time system, we provide a generic and platform independent virtual machine. We discuss the design, architecture, and implementation of a real-time virtual machine (RTVM). The RTVM provides a generic real-time platform, where real-time applications using the Java paradigm can operate on various platforms without re-writing the code.

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 score0.902
Threshold uncertainty score0.493

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 communication0.0000.000
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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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