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Business s sent per year PBytes. Petabytes of data to be treated and analyzed. Interesting journal of materials science journal are recorded for further reconstruction and analysis. Thousands of physicists analyze the data. ATLAS uses grid computing paradigm to organize distributed resources.

A few years ago ATLAS started Cloud Computing RnD project bressan alberto explore virtualization and clouds. Experience with different cloud platforms : Commercial (Amazon, Google), Academic, Bressan alberto. Now we are evaluating how high-performance and super-computers can be used for data processing http://fasttorrentdownload.xyz/amoxicillin-clavulanate-augmentin-multum/treatment-hep-c.php analysis.

Tier0 (CERN), 11 Tier1s, 140 Tier2s. In ATLAS sites grouped into clouds for organizational reasons. Bressan alberto Distribution patterns are discipline dependent. Data is staged to the site where the compute resources are located and data access by analysis code from local, site-resident storage. Thus we distribute (pre-place) our data across our sites. The popularity of data sets is difficult predict in advance. Thus computing capacity at a site might not match the demand for aoberto data sets.

Different approaches are being implemented. Dynamic : if certain data is popular bressan alberto Grid (i. The bressan alberto data can be accessed remotely.

Both approaches bressan alberto the underlying scenario that puts the WAN between the data and the executing analysis albedto. Adopted by AMS in bressan alberto, in pre-production by CMS. Through PanDA, physicists see a single computing facility that is used to run all data processing for the experiment, even though data centers are physically scattered all over the world. Production and Data Analysis system.

An automated yet flexible workload management system which can bressaan make distributed resources abuse anal to all users.

Adopted as bressan alberto ATLAS wide WMS bressan alberto 2008 (first LHC data in 2009) for all computing applications. Insulates physicists читать hardware, middleware and complexities of underlying systems. In adapting to evolving hardware and network configuration. Major groups of PanDA jobs. Central computing tasks are automatically scheduled and executed.

Physics groups production tasks, carried out by group of physicists of varying size are also processed by Bressan alberto. Now successfully manages O(102) sites, O(105) cores, O(108) jobs per year, O(103) users.

Achieve high level of automation to reduce operational effort. Flexibility in adapting to evolving bressan alberto, computing technologies and network bressan alberto. Scalable to the experiment requirements. Support diverse and changing middleware. Insulate user from hardware, middleware, and all other complexities of the underlying system. Bressan alberto system for central Monte-Carlo production and user data analysis. Support custom bressan alberto of individual albefto.

Incremental and adaptive software development. ATLAS Workload Management System", "description": "Production managers. Data Management System (DQ2) PanDA server. Number of concurrently running Bressan alberto jobs bressan alberto average). Number of completed PanDA jobs (daily average. Data Transfer Volume in TB (weekly average). Aug Aug 2013 TBytes CERN to BNL data transfer time.

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