Mobile services provisioning and sensor data sharing
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
The interest in the Internet of Things (IoT) and cyber-physical devices by consumers creates the need to study the prospects of mobile service hosting to enable integration of sensor devices with mobile technologies. This new ecosystem can boost the dissemination of timely information in a mobile P2P environment. The challenge however is that, in group sharing scenarios, a mobile node can become burdened during peak-loads which can cause intolerable message response latency, unresponsiveness, and failures. This paper proposes a mobile hosting architecture to enable mobile-to-mobile communication following the edge-based technique. Hence, instead of a single mobile serving as a centralised provider hub, the communication is distributed across nearby and available provider nodes. The request distribution is developed following the sequential, parallelism, loop, and choice services flow patterns. Preliminary testing of the flow patterns focused on latency reduction by tracing (a) the optimal path, (b) request re-assignment, and (c) fault-tolerance.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| 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