System research Google storage I/O traces synthesised

Google just provided synthesized Google I/O traces for storage servers and discs to help researchers

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I/O traces of storage devices and servers’ input/output processes are essential for studying storage behavior and performance

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Designing large distributed storage systems requires representative I/O modelling

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Google Cloud created Thesios to build accurate and representative I/O traces

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The capacity to synthesise counterfactual I/O traces for data-driven “what-if” research is unique to Thesios

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Using different workload filtering criteria to form hot and cold discs and analyzing their power consumption effects

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This trace includes user-facing and internal application I/O operations

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They think these traces are a unique chance to explore large-scale storage and make real progress For more details govindhtech.com

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