Efficient deep reinforcement learning based task scheduler in multi cloud environment.

Autor: Mangalampalli S; Department of CSE, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. ms.sudheer@manipal.edu., Karri GR; School of Computer Science and Engineering, VIT-AP University, Amaravati, AP, 522237, India., Ratnamani MV; Aditya Institute of Technology and Management, Tekkali, Srikakulam, AP, 530021, India., Mohanty SN; School of Computer Science and Engineering, VIT-AP University, Amaravati, AP, 522237, India., Jabr BA; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, 11543, Riyadh, Saudi Arabia., Ali YA; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, 11543, Riyadh, Saudi Arabia., Ali S; Battery Management System, Research and Development Center, EVE Lithium Energy Company, Huizhou, People's Republic of China. alikhan@pku.edu.cn., Abdullaeva BS; Department of Mathematics and Information Technologies, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University, Tashkent, Uzbekistan.

Publikováno v: Scientific reports [Sci Rep] 2024 Sep 19; Vol. 14 (1), pp. 21850. Date of Electronic Publication: 2024 Sep 19.