| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 03058 | |
| Number of page(s) | 4 | |
| Section | T3 - Distributed computing | |
| DOI | https://doi.org/10.1051/epjconf/201921403058 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921403058
IceProd - a dataset management system for IceCube: update
Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison,
222 W Washington Ave, Suite 500,
Madison, WI
53703,
USA
* Corresponding author: david.schultz@icecube.wisc.edu
Published online: 17 September 2019
IceCube is a cubic kilometer neutrino detector located at the south pole. IceProd is IceCube’s internal dataset management system, keeping track of where, when, and how jobs run. It schedules jobs from submitted datasets to HTCondor, keeping track of them at every stage of the lifecycle. Many updates have happened in the last years to improve stability and scalability, as well as increase user access. Along the way, the IceProd codebase switched from Python 2 to Python 3.
© The Authors, published by EDP Sciences, 2019
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.
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