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- W1566343602 abstract "From investigations on the impact of Disk I/O load on CPU load, we have found that the immanent Disk I/O load could affect the resource scheduler’s decision on assigning an appropriate storage resource to a job in which the Disk I/O operation is dominant. A possible but improper assignment can prolong the execution time of a task due to the contention for Disk I/O when the Disk I/O load in the machine is higher than the CPU load. Because the scheduler uses CPU load only for computing schedules, it does not even know the potential Disk I/O contention that could occur at the assigned resource. To avoid or at least alleviate these effects, we have developed a performance monitoring system and on-line performance forecast functions for providing forecast information to the Grid. In this paper, we examine the impact of Disk I/O workload on the CPU workload using our system, hereinafter referred to as Storage Weather Service(SWS). We evaluate several prediction methods in order to get an insight on varying Disk I/O workload." @default.
- W1566343602 created "2016-06-24" @default.
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- W1566343602 date "2003-01-01" @default.
- W1566343602 modified "2023-10-02" @default.
- W1566343602 title "Disk I/O Performance Forecast Using Basic Prediction Techniques for Grid Computing" @default.
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- W1566343602 doi "https://doi.org/10.1007/978-3-540-45145-7_24" @default.
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