Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing

Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing

Abstract The significant energy consumption within data centers is an essential contributor to global energy consumption and carbon emissions. Therefore, reducing energy consumption and carbon emissions in data centers plays a crucial role in sustainable development. Traditional cloud computing has...

Full description

Bibliographic Details
Main Authors: Zhibao Wang, Shuaijun Chen, Lu Bai, Juntao Gao, Jinhua Tao, Raymond R. Bond, Maurice D. Mulvenna
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cloud computing
Federated cloud
Reinforcement learning
Energy efficiency
Carbon emissions
Task scheduling
Online Access:https://doi.org/10.1186/s13677-023-00553-0

Internet

https://doi.org/10.1186/s13677-023-00553-0

Similar Items