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A measurement methodology to calibrate analytical models includingoperating system overhead

机译:校准分析模型的度量方法,包括操作系统开销

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The paper focuses on reducing completion time in large simulationnmodels by replacing some of their elements with analytically determinednsolutions. In particular, we study realistic analytical server modelsnthat include operating system overhead. This overhead will be determinednby measuring the behaviour of a representative workload. We propose anmethodology to reduce the number of measurements based on informationnprovided by an analytical workload model. The calibration of the modelnis also presented. As workload, the TPC-C benchmark was chosen due tonour interest in transactional systems
机译:本文着重于通过用解析确定的解决方案替换它们的某些元素来减少大型仿真模型的完成时间。特别是,我们研究了包括操作系统开销在内的现实的分析服务器模型。该开销将通过测量代表性工作负载的行为来确定。我们提出了一种方法论,以根据分析工作量模型提供的信息来减少测量次数。还介绍了模型的校准。作为工作负载,选择TPC-C基准是由于对交易系统的兴趣浓厚

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