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Fuzzy Logic Based Algorithm for Disk Scheduling Policy

机译:基于模糊逻辑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:硬盘作为数据存储设备是计算机系统中的重要组成部分。它被用于在所有现代计算机中存储大量信息。通过合并磁盘调度优化以满足磁盘队列中的未决请求,可以提高磁盘性能。操作系统是用户和硬件之间的接口,它有责任有效地使用硬件。当前的算法不了解由操作系统提供的附加信息,并且未被用于改善搜索和/或跟踪访问。本文提出了基于模糊模型知识的磁盘调度算法。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。使用模糊逻辑合并基于知识的调度策略可改善整个系统的行为。新的基于模糊逻辑的磁盘调度算法的性能表明,应用我们的方法可以减少寻道距离的移动。

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