PhysarumSM: P2P Service Discovery and Allocation in Dynamic Edge Networks
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
With the continuous growth in the number of mobile networked devices, and their rapidly improving compute capabilities, it has become possible to harness them as an extended cloud. This presents a clear opportunity to place latency-sensitive applications and services at the edge. As applications are increasingly based on the microservices and Network Function Virtualization (NFV) architectures, their overall performance will depend on the location of their constituent microservices relative to one-another. An extended cloud comprising mobile devices therefore results in a dynamic network, making it difficult for traditional orchestration systems in distant clouds to perform timely management and replacement of microservices to ensure the overall application or service is performant. We propose to address this challenge by decentralizing the service discovery and allocation logic, placing it in client microservices. This paper presents a P2P-based design and prototype system that empowers clients to discover desired services based on pre-defined QoS requirements. If none are found, clients identify compute nodes meeting the requirements to request a new service allocation.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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