Title: Exploiting Virtualization and Cloud Computing in ATLAS
The ATLAS Computing Model was designed around the concepts of grid
computing; since the start of data-taking, this model has proven very
successful in the
federated operation of more than one hundred Worldwide LHC Computing
Grid (WLCG) sites
for offline data distribution, storage, processing and analysis.
However, new paradigms in computing, namely
virtualization and cloud computing, present improved strategies for
managing and provisioning IT resources that could allow ATLAS to more
flexibly adapt and scale its storage and processing workloads on
varied underlying resources. In particular, ATLAS is developing a
"grid-of-clouds" infrastructure in order to utilize WLCG sites that
make resources available via a cloud API.
This work will present the current status of the Virtualization and
Cloud Computing R&D project in ATLAS Distributed Computing. First,
strategies for deploying
PanDA queues on cloud sites will be discussed, including the introduction of a "cloud factory" for managing cloud VM instances.
Next, performance results when running on virtualized/cloud resources at CERN
LxCloud,
StratusLab, and elsewhere will be presented.
Finally, we will present the ATLAS strategies for exploiting cloud-based storage, including remote XROOTD access to input data, management of EC2-based files, and the deployment of cloud-resident LCG storage elements.
Author: Dan van der Ster
Co-Authors: Fernando Barreiro, Kaushik De, Rod Walker
Type: parallel
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DanielVanDerSter - 20-Sep-2011
Topic revision: r2 - 2011-10-11
- unknown