Speaker
Simone Campana
(CERN)
Description
The ATLAS Distributed Computing project (ADC) was established in 2007 to
develop and operate a framework, following the ATLAS computing model, to enable
data storage, processing and bookkeeping on top of the WLCG distributed
infrastructure. ADC development has always been driven by operations and this
contributed to its success. The system has fulfilled the demanding requirements of
ATLAS, daily consolidating worldwide up to 1PB of data and running more than 1.5
million payloads distributed globally, supporting almost one thousand concurrent
distributed analysis users. Comprehensive automation and monitoring minimized the
operational manpower required. The flexibility of the system to adjust to operational
needs has been important to the success of the ATLAS physics program.
The LHC shutdown in 2013-2015 affords an opportunity to improve the system in
light of operational experience and scale it to cope with the demanding requirements
of 2015 and beyond, most notably a much higher trigger rate and event pileup. We
will describe the evolution of the ADC software foreseen during this period. This
includes consolidating the existing Production and Distributed Analysis framework
(PanDA) and ATLAS Grid Information System (AGIS), together with the
development and commissioning of next generation systems for distributed data
management (DDM/Rucio) and production (PRODSYS2). We will explain how new
technologies such as Cloud Computing and NoSQL databases, which ATLAS
investigated as R&D projects in past years, will be integrated in production. Finally,
we will describe more fundamental developments such as breaking job-to-data
locality by exploiting storage federations and caches, and event level (rather than file
or dataset level) workload engines.
Author
Simone Campana
(CERN)
