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Titlebook: Cloud Service Benchmarking; Measuring Quality of David Bermbach,Erik Wittern,Stefan Tai Textbook 2017 Springer International Publishing AG

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31#
發(fā)表于 2025-3-27 00:26:57 | 只看該作者
32#
發(fā)表于 2025-3-27 03:30:13 | 只看該作者
Turning Data into Insightsrt by introducing the general process for gaining insights from benchmarking data through preprocessing and analysis. We differentiate two fundamental approaches of data analysis, which depend on the benchmark’s original motivation. We end this chapter by providing an overview and discussion of different types of data analysis tools.
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發(fā)表于 2025-3-27 05:43:43 | 只看該作者
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發(fā)表于 2025-3-27 10:22:00 | 只看該作者
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發(fā)表于 2025-3-27 17:24:08 | 只看該作者
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發(fā)表于 2025-3-27 21:04:49 | 只看該作者
Data Preprocessingresented preprocessing methods as well as the selection of analysis methods presented in the next chapter. We then introduce concrete preprocessing methods for data selection, dealing with missing values, resampling of data, and data transformation.
37#
發(fā)表于 2025-3-28 01:27:11 | 只看該作者
Using Insights on Cloud Service Qualitywhen deciding on cloud service selection and configuration, or ultimately how to design applications that can either compensate for or leverage particular quality characteristics of underlying services.
38#
發(fā)表于 2025-3-28 05:23:30 | 只看該作者
Textbook 2017n and engineering of complex software architectures that use such services. Starting with a broad introduction to the field, this book guides readers step-by-step through the process of designing, implementing and executing a cloud service benchmark, as well as understanding and dealing with its res
39#
發(fā)表于 2025-3-28 09:44:37 | 只看該作者
https://doi.org/10.1007/978-3-319-55483-9Cloud Computing; Software performance; Benchmarks; Software quality; Experimentation; Data analysis
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發(fā)表于 2025-3-28 12:11:13 | 只看該作者
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