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深度强化学习用于联合云环境中的工作负载预测

Zaakki Ahamed1, Maher Khemakhem1, Fathy Eassa1

  • 1Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University (KAU), Jeddah 21589, Saudi Arabia.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

联合云工作负载预测与深度Q学习 (FEDQWP) 优化了云服务提供商的资源配置. 这种新的方法提高了CPU利用率,降低了能源消耗,并在联合云环境中最大限度地减少了服务级别协议违规行为.

关键词:
深度Q学习 (Deep Q Learning) 是一种深度Q学习.深度强化学习 (deep reinforcement learning) 是一种深度强化学习的方法.联合云计算 联合云计算机器学习 机器学习虚拟机的放置位置能源效率是指能效的能源效率.工作负载预测工作负载预测

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