Achieving high performance in CORBA-based systems with limited heterogeneity
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.
Bibliographic record
Abstract
Requirements for interoperability and reusability motivate the use of object oriented middleware like the Common Object Request Broker Architecture (CORBA). However, unless CORBA can be implemented efficiently, it will not be widely used in real time and other latency-sensitive distributed applications. The paper presents three performance enhancement techniques for CORBA based middleware. Two of these exploit limited heterogeneity in systems. In such a system a standard CORBA protocol is used when clients and servers interacting with one another are implemented by using different programming languages and/or operating systems. However, when a similar client-server pair built using the same technology communicates, a number of CORBA operations are bypassed, thus reducing the communication overhead. Based on a commercial middleware product and measurements made on a performance prototype running on a network of workstations, this research demonstrates that there is a strong potential for achieving a significant performance improvement by incorporating these techniques into the middleware.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it