HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation
September 29, 2017 Β· Declared Dead Β· π Computing and Software for Big Science
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Authors
Burt Holzman, Lothar A. T. Bauerdick, Brian Bockelman, Dave Dykstra, Ian Fisk, Stuart Fuess, Gabriele Garzoglio, Maria Girone, Oliver Gutsche, Dirk Hufnagel, Hyunwoo Kim, Robert Kennedy, Nicolo Magini, David Mason, Panagiotis Spentzouris, Anthony Tiradani, Steve Timm, Eric W. Vaandering
arXiv ID
1710.00100
Category
cs.DC: Distributed Computing
Cross-listed
physics.comp-ph
Citations
35
Venue
Computing and Software for Big Science
Last Checked
6 months ago
Abstract
Historically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the distributed computing grids used today. Recently, there has been an exponential increase in the capacity and capability of commercial clouds. Cloud resources are highly virtualized and intended to be able to be flexibly deployed for a variety of computing tasks. There is a growing nterest among the cloud providers to demonstrate the capability to perform large-scale scientific computing. In this paper, we discuss results from the CMS experiment using the Fermilab HEPCloud facility, which utilized both local Fermilab resources and virtual machines in the Amazon Web Services Elastic Compute Cloud. We discuss the planning, technical challenges, and lessons learned involved in performing physics workflows on a large-scale set of virtualized resources. In addition, we will discuss the economics and operational efficiencies when executing workflows both in the cloud and on dedicated resources.
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