Upgrading the Huawei Cloud Storage Benchmark Framework for ROOT6 Compatibility

Abstract

The European Organisation for Nuclear Research (CERN) is the largest research center in the world in the field of particle physics. Huge amounts of data, in the order of Peta Bytes, are being generated from the High Energy Physics experiments going on at CERN. The massive data growth prompts CERN to evaluate new storage technologies, to store and analyse the data that is being generated from the experiments. The scalability of the storage system is important for CERN as the laboratory faces the ever increasing demands of its physics users. Huawei, a CERN collaboration member, focuses on investigating the applicability of new storage techniques and architectures to the storing of high energy physics data from the LHC e peri e ts. I earl , Hua ei s loud storage s ste as deli ered to the CERN site, and in three months, the installation and benchmark performance evaluation ere o pleted. Hua ei s loud storage pro ed to sho horizontal scalability in writing and reading performance and capability to automatically recover from storage node failures. One of the main objectives of the Huawei CERN partnership is to investigate the performance and scalability of a new cloud storage system and compare the results with more traditional approaches used at CERN. To perform this quantitative study, a multiclient benchmark has been developed using ROOT to allow statistical data analysis. Currently, a new version of ROOT has been released with many improvements. In order to allow for more efficient testing and rapid deployment of new benchmark workloads, the existing multi-client benchmark had to be upgraded to be compatible with ROOT 6. This report documents and justifies that the benchmark framework was upgraded and verified to be able to produce the same results as the previous benchmark framework before the upgrade. CERN Openlab Summer Student Report 2015 Table of