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- W2529040057 abstract "Understanding the characteristics of data stored in data centers helps computer scientists in identifying the most suitable storage infrastructure to deal with these workloads. For example, knowing the relevance of file formats allows optimizing the relevant formats but also helps in a procurement to define benchmarks that cover these formats. Existing studies that investigate performance improvements and techniques for data reduction such as deduplication and compression operate on a small set of data. Some of those studies claim the selected data is representative and scale their result to the scale of the data center. One hurdle of running novel schemes on the complete data is the vast amount of data stored and, thus, the resources required to analyze the complete data set. Even if this would be feasible, the costs for running many of those experiments must be justified." @default.
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- W2529040057 date "2016-01-01" @default.
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- W2529040057 title "Analyzing Data Properties Using Statistical Sampling Techniques – Illustrated on Scientific File Formats and Compression Features" @default.
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- W2529040057 doi "https://doi.org/10.1007/978-3-319-46079-6_10" @default.
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