Bibliographic record
Abstract
The widespread use and expansion of the World Wide Web has revolutionized the discovery, access, and retrieval of information. The Internet has become the doorway to a vast information base and has leveraged the access to information through standard protocols and technologies like HyperText Markup Language (HTML), active server pages (ASP), Java server pages (JSP), Web databases, and Web services. Web services are software applications that are accessible over the World Wide Web through standard communication protocols. A Web service typically has a Webaccessible interface for its clients at the front end, and is connected to a database system and other related application suites at the back end. Thus, Web services can render efficient Web access to an information base in a secured and selective manner. The true success of this technology, however, largely depends on the efficient management of the various components forming the backbone of a Web service system. This chapter presents an overview and the state of the art of various management approaches, models, and architectures for Web services systems toward achieving quality of service (QoS) in Web data access. Finally, it discusses the importance of autonomic or self-managing systems and provides an outline of our current research on autonomic Web services.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".