EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||15|
|Section||3 - Middleware and Distributed Computing|
|Published online||16 November 2020|
Distributed Computing Software and Data Access Patterns in OSG Midscale Collaborations
Enrico Fermi Institute, University of Chicago 955 E. 56th St. Chicago IL 60637
2 University of Wisconsin-Madison 222 West Washington Ave, 500, Madison, WI, 53703
3 Information Sciences Institute, University of Southern California, Los Angeles, CA 90007
4 University of California San Diego 9500 Gilman Dr. La Jolla CA 92093
5 Internet 2 100 Phoenix Drive, Suite 111 Ann Arbor MI 48108
6 Center for Relativistic Astrophysics and School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
* e-mail: email@example.com
Published online: 16 November 2020
In this paper we showcase the support in Open Science Grid (OSG) of Midscale collaborations, the region of computing and storage scale where multi-institutional researchers collaborate to execute their science workflows on the grid without having dedicated technical support teams of their own. Collaboration Services enables such collaborations to take advantage of the distributed resources of the Open Science Grid by facilitating access to submission hosts, the deployment of their applications and supporting their data management requirements. Distributed computing software adopted from large scale collaborations, such as CVMFS, Rucio, xCache lower the barrier of intermediate scale research to integrate with existing infrastructure.
© 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.
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