Division of load for operating system kernel

Sena Seneviratne, S. Witharana
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引用次数: 2

Abstract

The current Operating System (OS) kernels calculate the load average value as a lump sum. Also the algorithm for the calculation of load average does not separate CPU load from Disk load. This leads to the presentation of an incorrect measurement when both disk bound tasks and CPU bound tasks run simultaneously. In this paper a new algorithm is proposed to calculate, store and display each user's CPU and Disk loads separately. The separation of user load at the kernel level has an importance in the collection of historical load signals as they can be useful for load prediction. In Grids and Clusters the users have certain usage patterns that can be easily traced back in the historical load profile collections. Such selected patterns are useful in the prediction of load profiles.
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操作系统内核的负载划分
当前的操作系统(OS)内核将负载平均值计算为一次总和。此外,计算平均负载的算法没有将CPU负载与磁盘负载分开。这将导致在磁盘绑定任务和CPU绑定任务同时运行时显示不正确的测量结果。本文提出了一种新的算法来分别计算、存储和显示每个用户的CPU和磁盘负载。在内核级别分离用户负载对于收集历史负载信号非常重要,因为它们可以用于负载预测。在网格和集群中,用户具有特定的使用模式,可以在历史负载配置文件集合中轻松地追溯到这些模式。这种选定的模式在预测负荷剖面时很有用。
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