Extending Web Service Offerings Infrastructure (WSOI) for Management of Mobile/Embedded XML Web Services
Bibliographic record
Abstract
Management of Extensible Markup Language (XML) Web services executing in mobile and/or embedded environments poses new challenges coming from limited available resources and from the need for characteristic management activities, such as handling context sensitivity. We determined management requirements, studied relevant tradeoffs, and designed a management infrastructure for monitoring of mobile/ embedded XML Web services. The infrastructure enables that some or all management activities are executed on a non-mobile/non-embedded gateway instead of a mobile/embedded provider Web service. Further, it contains support for managing contextsensitivity and for handling disruptions in quality of service (QoS) and intermittent connectivity. While our high-level architecture can be implemented upon several existing Web service management tools, we chose to develop a new version of our Web Service Offerings Infrastructure (WSOI). The suggested solutions are being verified using the new WSOI prototype and validated on case studies, such as emulation of track-tracking Web services.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".