Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
---|---|---|
Article Number | 07003 | |
Number of page(s) | 10 | |
Section | 7 - Facilities, Clouds and Containers | |
DOI | https://doi.org/10.1051/epjconf/202024507003 | |
Published online | 16 November 2020 |
https://doi.org/10.1051/epjconf/202024507003
Consolidating the interactive analysis and Grid infrastructure at DESY
DESY, Notkestraße 85, D-22607 Hamburg, Germany
* e-mail: thomas.hartmann@desy.de
Published online: 16 November 2020
Within WLCG, the DESY site in Hamburg is one of the largest Tier-2 sites with about 18500 CPU cores for Grid workloads. Additionally, about 8000 CPU cores are available for interactive user analyses in the National Analysis Factory [NAF]. After migrating these two batch systems onto a common HTCondor based set-up during the previous four years, we recapitulate the lessons learned during the transition especially since both use cases differ in their workloads. For Grid jobs start-up latencies are negligible and the primary focus is on an optimal utilization of the resources. Complementary, users of the NAF expect a high responsiveness of the batch system as well as the storage for interactive analyses. In this document, we will also give an outlook to future developments and concepts for the DESY high-throughput computing. In the ongoing evolution of the HTC batch system, we are exploring how to integrate anonymous jobs with the batch system as back-end for Function-as-a-Service workflows as well as an option for dynamic expansions to remote computing resources.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.