Cloud service negotiation: a research report
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
As the cloud market becomes more open and competitive, Quality of Service (QoS) will be more important. To allow cloud consumers to express their QoS requirements, and negotiate them with cloud providers, we argue for cloud service negotiation. This paper outlines a research roadmap, reviews the state of the art and reports our work on cloud service negotiation. Three research problems that we formulate are QoS measurement, QoS negotiation and QoS assurance. To address QoS measurement, we initiate a quality model for cloud services, called CLOUDQUAL, which specifies six quality dimensions and five quality metrics. To address QoS negotiation, we present a mixed negotiation approach for cloud services, which is based on the ‘game of chicken’ and can balance utility and success rate. To address QoS assurance, we propose a QoS-driven resource allocation method for cloud services, which can meet users’ QoS requirements while minimising resources consumed.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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