Energy-aware self-adaptive real-time job scheduling in a cloud environment using deep reinforcement learning focused on quality of service
Crossref DOI link: https://doi.org/10.1007/s10586-024-04945-y
Published Online: 2025-06-16
Published Print: 2025-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Azari, Hossein Zehtab
Jalili, Saeed
Text and Data Mining valid from 2025-06-16
Version of Record valid from 2025-06-16
Article History
Received: 21 July 2024
Revised: 17 November 2024
Accepted: 18 November 2024
First Online: 16 June 2025
Declarations
:
: The authors have not disclosed any competing interests.