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Record W2117429242 · doi:10.1109/ccece.2003.1226129

An Internet-based distributed system by using real-time CORBA

2004· article· en· W2117429242 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
TopicCognitive Computing and Networks
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCommon Object Request Broker ArchitectureComputer scienceThe InternetDistributed computingScheduling (production processes)Resource Management SystemComputer networkOperating systemResource allocation

Abstract

fetched live from OpenAlex

As real-time systems are moving form centralized architectures to distributed and Internet-based ones, global task scheduling and resource management have been the central issues. However, the current resource management techniques are based on fixed methods and hard to be extended. This paper develops a resource management framework with flexible, reusable and extensible resource management infrastructure by extending the methods provided in the real-time CORBA (RT-CORBA). The application of this framework is described in the design and implementation of an Internet-based distributed real-time system, in which a set of control nodes is distributively connected to the Internet. The system is designed for integrating multiple-platforms into the common protocol of the Internet, which extends the architecture and technology of conventional bus-based or dedicated communication-channel-based distributed systems. The client server of any node can monitor or control the status of other remote nodes in the system. Various optimizations are adopted in order to enhance the real-time performance of this system.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.538

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 communication0.0000.000
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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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