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Fuzzy Logic Based Algorithm for Disk Scheduling Policy

机译:基于模糊的磁盘调度策略算法

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Hard disk is the important component in computer system as data storage device. It is being used to store large amount of information in all modern computers. Disk performance can be improved by incorporating disk scheduling optimization for satisfy pending request in the disk queue. Operating system, being the interface between the user and the hardware, has the responsibility to use hardware efficiently. Current algorithm have not knowledge about the additional information provided by operating system and not been used for improvement of the seeking and/or tracking accessing. The paper present fuzzy model knowledge based for improving the disk scheduling. We use the Matlab implementation of this algorithm to compare and contrast the output with existing algorithms. Incorporating knowledge-based scheduling policy using fuzzy logic improves overall system behavior. The performance of the new disk scheduling algorithm based on fuzzy logic shows that the seek distance movement could be decreased by applying our methodology.
机译:硬盘是计算机系统中的重要组成部分作为数据存储设备。它被用来存储所有现代计算机中的大量信息。可以通过在磁盘队列中结合磁盘调度优化来提高磁盘性能,以满足磁盘队列中的待处理请求。操作系统是用户和硬件之间的接口,有责任有效使用硬件。目前的算法没有了解操作系统提供的附加信息,而不是用于改进寻求和/或跟踪访问。本文基于提高磁盘调度的模糊模型知识。我们使用该算法的MATLAB实现将输出与现有算法进行比较和对比。使用模糊逻辑融入基于知识的调度策略,提高了整体系统行为。基于模糊逻辑的新磁盘调度算法的性能表明,通过应用我们的方法可以降低寻找距离运动。

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