EETS: An energy-efficient task scheduler in cloud computing based on improved DQN algorithm

The huge energy consumption of data centers in cloud computing leads to increased operating costs and high carbon emissions to the environment. Deep Reinforcement Learning (DRL) technology combines of deep learning and reinforcement learning, which has an obvious advantage in solving complex task sc...

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Үндсэн зохиолчид:	Huanhuan Hou, Azlan Ismail
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Springer 2024-10-01
Цуврал:	Journal of King Saud University: Computer and Information Sciences
Нөхцлүүд:	Cloud computing Task scheduling Deep reinforcement learning Energy-efficient Double dueling DQN Prioritized experience replay
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S1319157824002660
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!