Published 2020 | Version v1
Journal article

Distributed Computing Software and Data Access Patterns in OSG Midscale Collaborations

  • 1. Enrico Fermi Institute, University of Chicago 955 E. 56th St. Chicago IL 60637 (United States)
  • 2. University of Wisconsin-Madison 222 West Washington Ave, 500, Madison, WI, 53703 (United States)
  • 3. Information Sciences Institute, University of Southern California, Los Angeles, CA 90007 (United States)

Description

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.

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_03005.pdf; https://doaj.org/article/fd9d6e5b5bcc40b990e53a66680791b3

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
245
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
24. International Conference on Computing in High Energy and Nuclear Physics
Acronym
CHEP 2019
Dates
4-8 Nov 2019
Place
Adelaide (Australia)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
53090823
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER CODES; COMPUTERIZED SIMULATION; DATA BASE MANAGEMENT
Descriptors DEC
MANAGEMENT; SIMULATION