ATLAS R&D Towards Next-Generation Distributed Computing
The ATLAS Distributed Computing (ADC) project delivers production quality
tools and services for ATLAS offline activities such as data placement and
data processing on the Grid. The system has been capable of sustaining
with large contingency the needed computing activities in the first years
of LHC data taking, and has demonstrated flexibility in reacting promptly
to new challenges. Development activities in this period have focused on
consolidating existing services and increasing automation to be able to sustain
existing loads. At the same time, an R&D program has evaluated new solutions
and promising technologies capable of extending the operational scale,
manageability and feature set of ATLAS distributed computing, several of
which have selectively been brought to maturity as production-level tools and
services. We will give an overview of R&D work in evaluating new tools and
approaches and their integration into production services. A non exhaustive
list of items includes cloud computing and virtualization, non-relational
databases, utilizing multicore processors, the CERNVM File System, end to end
network monitoring, event and file level caching, and federated distributed
storage systems. The R&D initiative, while focused on ATLAS needs, has
aimed for a broad scope involving many other parties including other LHC
experiments, ATLAS Grid sites, the CERN IT department, and WLCG and OSG
programs.
- Track: Distributed Processing and Analysis on Grids and Clouds
- Author: Simone Campana
- Co-authors: Torre Wenaus, Alexei Klimentov
- Presentation Type: Parallel
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SimoneCampana - 20-Sep-2011