Methodology to select a I/O configuration (hardware resources and stack software) in cloud platform

Abstract

Currently, there is an increasing interest about the cloud platform by the High Performance Computing (HPC) community, and the Parallel Input/Output (I/O) for High Performance Systems is not an exception. However, in cloud platform increase the number of parameters that user can select to I/O system. For this reason, we propose a methodology to help the user to select a configuration.