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Updated: Jun 14, 2025

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集成值的毕达哥拉斯模糊集基础的Dyna Q+框架用于云计算中的任务调度

Bhargavi Krishnamurthy1, Sajjan G Shiva2

  • 1Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumakuru 572103, Karnataka, India.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括

这项研究介绍了云计算的智能任务调度器,以整数值的毕达哥拉斯模糊集来增强Dyna Q+算法,以管理不确定性. 这种新的方法显著提高了效率,减少了90%的执行和延长时间.

关键词:
这是Dyna-Q-学习.云计算是云计算中的一个.间隔值的毕达哥拉斯模糊集合.业绩表现表现的表现表现是什么不确定性是一种不确定性.

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