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Title: Diversity in computing technologies and strategies for dynamic resource allocation

Here, High Energy Physics (HEP) is a very data intensive and trivially parallelizable science discipline. HEP is probing nature at increasingly finer details requiring ever increasing computational resources to process and analyze experimental data. In this paper, we discuss how HEP provisioned resources so far using Grid technologies, how HEP is starting to include new resource providers like commercial Clouds and HPC installations, and how HEP is transparently provisioning resources at these diverse providers.
Authors:
 [1] ;  [1]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Publication Date:
OSTI Identifier:
1250770
Report Number(s):
FERMILAB-CONF--15-443-CD
Journal ID: ISSN 1742-6588; 1413172
Grant/Contract Number:
AC02-07CH11359
Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 664; Journal Issue: 1; Conference: 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa (Japan), 13-17 Apr 2015; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Research Org:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING