System research Google storage I/O traces synthesised

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

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

Designing large distributed storage systems requires representative I/O modelling

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

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

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

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