TY  - JOUR
AU  - Fernandez, Rezaul
AU  - Alam, Imran
AU  - Ahmed, Mahmud
TI  - Edge Computing Task Offloading using Random Forest Regression
JO  - Open Access Journal of Engineering Applications
PY  - 2024
VL  - 48
IS  - 1
SP  - 731
EP  - 750
AB  - Increasing deployment of data centers has exposed clear limitations in existing approaches to edge computing task offloading. A hybrid scheme couples random forest regression with physics-based constraints to improve interpretability. Only 2 of the candidate configurations satisfied every performance requirement. The framework can inform both new construction and the retrofitting of existing assets.
KW  - edge computing task offloading
KW  - random forest regression
KW  - co2 sequestration
KW  - edge computing
SN  - 3105-7004
DO  - 10.55555/oajea.2024.4801.038
UR  - https://journal.bsaps.com/article/10105
ER  -