A comprehensive service management middleware for autonomic management of composite web services-based processes
Bibliographic record
Abstract
Web services are autonomic software applications that provide specific services on the Web and are accessible through standards-based protocols and interfaces in order to ensure interoperability.Web services have gained immense popularity due to the potential of dynamically composing multiple Web services over the Internet into complex multi-organizational Business-to-Business and Business-to-Consumer processes.The management of such composite processes, however, poses a non-trivial problem in terms of cost and complexity due to technology growth, increasing consumer demands for service quality, and the varying Internet workload.Based on a study of the state-of-the-art and a critical assessment of the limitations of the existing solutions, we present the Comprehensive Service Management Middleware (CSMM) framework to facilitate execution of the four major tasks of client-side process management namely, service selection, negotiation of Service Level Agreement (SLA), composition and execution of the process, and monitoring and validation of SLAs.We also propose the Negotiation Broker (NB) framework for automated intelligent agent-based negotiation of Service Level Agreements (SLAs), and the Performance Monitor (PM) framework for distributed client-side monitoring and verification of SLAs.iv
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 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".