Performance evaluation of memory usage costs for commercial cloud services

摘要

Commercial cloud services hold great promise as excellent and economical computing resources for running ever-expanding scientific computing workflows. However, there is no easy way to determine which computing resource will be able to run a scientific computing workflow at the lowest cost, so selecting from among the many computing resources available is difficult for scientists. This research aims to provide a clear standard for selecting computing resources for running scientific computing workflows. This research focuses on the issue of usage cost. The issue is how to select instances that will satisfy computing performance requirements and have the lowest user cost when executing a scientific workflow on a commercial cloud service.