Bibliographic record
Abstract
ABSTRACT With the increase in different handheld devices, there has been tremendous growth in network traffic resulting in need of newer topologies for network traffic management. The paper proposes a novel network topology design based on combination of hexagonal and pentagonal structures together. We have introduced the Hex‐Penta network, a scalable and efficient architecture that offers several potential advantages over traditional network topologies. The proposed novel topology is static and irregular interconnection initialize with the 11 nodes. There are 11 nodes in Level 1, 59 nodes at Level 2, 149 nodes in Level 3, and so on. Addition of new nodes in the Hex‐Penta cell affects networks performance. There are various topological characteristics such as the diameter of the network, degree of nodes, and bisection width of this interconnection. In this paper, we also compare the performance of Hex‐Penta cell with the other topologies such as hypercube, butterfly, binary tree, and shuffle exchange interconnections. The proposed topology works well in parallel computing as well as in grid computing as it requires fewer nodes information as compared with other topologies to communicate among the various nodes.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.003 | 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 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".