9-13 July 2018
Sofia, Bulgaria
Europe/Sofia timezone

Using Lustre and SLURM to process Hadoop workloads and extending to the WLCG

10 Jul 2018, 16:00
Sofia, Bulgaria

Sofia, Bulgaria

National Culture Palace, Boulevard "Bulgaria", 1463 NDK, Sofia, Bulgaria
Poster Track 4 - Data Handling Posters


Daniel Peter Traynor (University of London (GB))


The Queen Mary University of London Grid site has investigated the use of its' Lustre file system to support Hadoop work flows using the newly open sourced Hadoop adaptor for Lustre. Lustre is an open source, POSIX compatible, clustered file system often used in high performance computing clusters and, is often paired with the SLURM batch system as it is at Queen Mary. Hadoop is an open-source software framework for distributed storage and processing of data normally run on dedicated hardware utilising the HDFS file system and Yarn batch system. Hadoop is an important modern tool for data analytics used by a large range of organisation including CERN. By using our existing Lustre file system and SLURM batch system we remove the need to have dedicated hardware and only have to maintain a single platform for data storage and processing. The motivation and benefits of using Lustre rather than HDFS with Hadoop are presented. The installation, benchmarks and real world performance are presented and future plans discussed. We also investigate using the standard WLCG grid middleware services (Cream CE, Storm SRM) to provide a grid enabled Hadoop service.

Primary authors

Daniel Peter Traynor (University of London (GB)) Terry Froy (Queen Mary University of London)

Presentation Materials