Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling.
Saved in:
| Title: | Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling. |
|---|---|
| Authors: | Sahu, Dinesh1 (AUTHOR), Nidhi1 (AUTHOR), Chaturvedi, Rajnish1 (AUTHOR), Prakash, Shiv2 (AUTHOR) shivprakash@allduniv.ac.in, Yang, Tiansheng3 (AUTHOR), Rathore, Rajkumar Singh4 (AUTHOR) rsrathore@cardiffmet.ac.uk, Alsolbi, Idrees5 (AUTHOR) insolbi@uqu.edu.sa |
| Source: | Scientific Reports. 8/19/2025, Vol. 15 Issue 1, p1-26. 26p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 20452322 |
|---|---|
| DOI: | 10.1038/s41598-025-16317-6 |