Managing the mobile Ad-hoc cloud ecosystem using software defined networking principles
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
In order to address the ossification of the traditional network, there have been many studies that show the benefits of the orthogonality offered by the principles of Software Defined Networking (SDN). Therefore, as the concept of SDN saw wide spread acceptance, it's adaptability in wireless networks began to emerge. Many proposals in the literature have addressed the issues that are related to the Mobile Ad-hoc Networks (MANETs). A computing environment formed atop a MANET that is closely linked to the rigidity of the underlying network is called Mobile Ad-hoc Cloud. In this paper we show how a seamless disruption tolerant mobile ad-hoc cloud can be maintained with the assistance of the adaptive principles offered by the SDN framework. Further, we demonstrate how a selection of mobile ad-hoc cloud composition traffic can reduce the latency in task computation and result collection in comparison with the traditional non-SDN ecosystem.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 it