EPJ Web of Conferences
Volume 116, 2016Very Large Volume Neutrino Telescope (VLVnT-2015)
|Number of page(s)||5|
|Section||Computing Models, Data Repositories, Virtual Observatory, Data Formats, Software Systems, User Training|
|Published online||11 April 2016|
IceCube simulation production and the transition to IceProd2
Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, 222 W Washington Ave, Suite 500, Madison, WI 53703, USA
a e-mail: firstname.lastname@example.org
Published online: 11 April 2016
IceCube's simulation production relies largely on dynamic, heterogeneous resources spread around the world. Datasets consist of many thousands of job workflow subsets running in parallel as directed acyclic graphs (DAGs) and using varying resources. IceProd is a set of Python daemons which process job workflow and maintain configuration and status information on jobs before, during, and after processing. IceProd manages a complex workflow of DAGs to distribute jobs across all computing grids and optimize resource usage. IceProd2 is a new version of IceProd with substantial increases in security, reliability, scalability, and ease of use. It is undergoing testing and will be deployed this fall.
© Owned by the authors, published by EDP Sciences, 2016
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.