Year: 2025
Type: conference-paper
Abstract: Cloud scheduling is an NP-hard problem. In this paper, we propose an end-to-end system that executes a WRF (Weather Research and Forecast) task by providing recommendations of resource configurations. The optimal executions scenarios containing 3 options: fastest, cheapest and a trade-off is generated by estimating the runtime using a data-driven ensemble regression method.
DOI: 10.63438/yzfu3809
Authors: Deepika Udupa, Gregoris Malekos, Kostas Flokos
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
OpenAlex ID: W4409544819