A. Ceseracciu
(SLAC / INFN PADOVA)
27/09/2004, 14:00
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The Event Reconstruction Control System of the BaBar experiment was redesigned in
2002, to satisfy the following major requirements: flexibility and scalability.
Because of its very nature, this system is continuously maintained to implement the
changing policies, typical of a complex, distributed production enviromnent.
In 2003, a major revolution in the BaBar computing model, the...
J. Andreeva
(UC Riverside)
27/09/2004, 14:20
Track 5 - Distributed Computing Systems and Experiences
oral presentation
One of the goals of CMS Data Challenge in March-April 2004 (DC04) was to run
reconstruction for sustained period at 25 Hz input rate with distribution of the
produced data to CMS T1 centers for further analysis.
The reconstruction was run at the T0 using CMS production software, of which the main
components are RefDB (CMS Monte Carlo 'Reference Database' with Web interface) and
McRunjob...
L. GOOSSENS
(CERN)
27/09/2004, 14:40
Track 5 - Distributed Computing Systems and Experiences
oral presentation
In order to validate the Offline Computing Model and the
complete software suite, ATLAS is running a series of Data
Challenges (DC). The main goals of DC1 (July 2002 to April
2003) were the preparation and the deployment of the
software required for the production of large event samples,
and the production of those samples as a worldwide
distributed activity.
DC2 (May 2004 until...
S. Pardi
(DIPARTIMENTO DI MATEMATICA ED APPLICAZIONI "R.CACCIOPPOLI")
27/09/2004, 15:00
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The standard procedures for the extraction of gravitational wave signals coming
from coalescing binaries provided by the output signal of an interferometric
antenna may require computing powers generally not available in a single computing
centre or laboratory. A way to overcome this problem consists in using the
computing power available in different places as a single geographically...
P. Buncic
(CERN)
27/09/2004, 15:20
Track 5 - Distributed Computing Systems and Experiences
oral presentation
AliEn (ALICE Environment) is a Grid framework developed by the Alice Collaboration and used in production
for almost 3 years. From the beginning, the system was constructed using Web Services and standard
network protocols and Open Source components. The main thrust of the development was on the design and
implementation of an open and modular architecture. A large part of the component...
H. Kornmayer
(FORSCHUNGSZENTRUM KARLSRUHE (FZK))
27/09/2004, 15:40
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The observation of high-energetic gamma-rays with ground based air cerenkov telescopes is one of
the most exciting areas in modern astro particle physics. End of the year 2003 the MAGIC telescope
started operation.The low energy threshold for gamma-rays together with different background
sources leads to a considerable amount of data. The analysis will be done in different institutes...
S. Burke
(Rutherford Appleton Laboratory)
27/09/2004, 16:30
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The European DataGrid (EDG) project ran from 2001 to 2004, with the aim of producing
middleware which could form the basis of a production Grid, and of running a testbed
to demonstrate the middleware. HEP experiments (initially the four LHC experiments
and subsequently BaBar and D0) were involved from the start in specifying
requirements, and subsequently in evaluating the performance...
M. Schulz
(CERN)
27/09/2004, 16:50
Track 5 - Distributed Computing Systems and Experiences
oral presentation
LCG2 is a large scale production grid formed by more than 40 worldwide distributed sites.
The aggregated number of CPUs exceeds 3000 several MSS systems are integrated in the system. Almost
all sites form an independent administrative domain.
On most of the larger sites the local computing resources have been integrated into the grid.
The system has been used for large scale...
R. Pordes
(FERMILAB)
27/09/2004, 17:10
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The U.S.LHC Tier-1 and Tier-2 laboratories and universities are developing production Grids to support LHC
applications running across a worldwide Grid computing system. Together with partners in computer science,
physics grid projects and running experiments, we will build a common national production grid
infrastructure which is open in its architecture, implementation and use.
The...
S. Dasu
(UNIVERSITY OF WISCONSIN)
27/09/2004, 17:30
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The University of Wisconsin distributed computing research groups
developed a software system called Condor for high throughput computing
using commodity hardware. An adaptation of this software, Condor-G, is
part of Globus grid computing toolkit. However, original Condor has
additional features that allows building of an enterprise level grid.
Several UW departments have Condor computing...
A. Lyon
(FERMI NATIONAL ACCELERATOR LABORATORY)
27/09/2004, 17:50
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The SAMGrid team has recently refactored its test harness suite for
greater flexibility and easier configuration. This makes possible
more interesting applications of the test harness, for component
tests, integration tests, and stress tests. We report on the
architecture of the test harness and its recent application
to stress tests of a new analysis cluster at Fermilab, to explore...
A. Shevel
(STATE UNIVERSITY OF NEW YORK AT STONY BROOK)
27/09/2004, 18:10
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The PHENIX collaboration records large volumes of data for each
experimental run (now about 1/4 PB/year). Efficient and timely
analysis of this data can benefit from a framework for distributed
analysis via a growing number of remote computing facilities in the
collaboration. The grid architecture has been, or is being deployed
at most of these facilities.
The experience being...
D. Smith
(STANFORD LINEAR ACCELERATOR CENTER)
29/09/2004, 14:00
Track 5 - Distributed Computing Systems and Experiences
oral presentation
for the BaBar Computing Group.
The analysis of the BaBar experiment requires many times the measured
data to be produced in simulation. This requirement has resulted in
one of the largest distributed computing projects ever completed.
The latest round of simulation for BaBar started in early 2003, and
completed in early 2004, and encompassed over 1 million jobs, and
over 2.2...
29/09/2004, 14:20
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The CMS 2004 Data Challenge (DC04) was devised to test several key
aspects of the CMS Computing Model in three ways: by trying to
sustain a 25 Hz reconstruction rate at the Tier-0; by distributing
the reconstructed data to six Tier-1 Regional Centers (FNAL in US,
FZK in Germany, Lyon in France, CNAF in Italy, PIC in Spain, RAL in
UK) and handling catalogue issues; by redistributing...
A. Klimentov
(A)
29/09/2004, 14:40
Track 5 - Distributed Computing Systems and Experiences
oral presentation
AMS-02 Computing and Ground Data Handling.
V.Choutko (MIT, Cambridge), A.Klimentov (MIT, Cambridge) and
M.Pohl (Geneva University)
AMS (Alpha Magnetic Spectrometer) is an experiment to search in
space for dark matter and antimatter on the International Space
Station (ISS). The AMS detector had a precursor flight in 1998 (STS-
91, June 2-12, 1998)....
A. Fanfani
(INFN-BOLOGNA (ITALY))
29/09/2004, 15:00
Track 5 - Distributed Computing Systems and Experiences
oral presentation
In March-April 2004 the CMS experiment undertook a Data Challenge(DC04).
During the previous 8 months CMS undertook a large simulated event
production. The goal of the challenge was to run CMS reconstruction for
sustained period at 25Hz input rate, distribute the data to the CMS Tier-1
centers and analyze them at remote sites. Grid environments developed in
Europe by the LHC...
Rob KENNEDY
(FNAL)
29/09/2004, 15:20
Track 5 - Distributed Computing Systems and Experiences
oral presentation
Most of the simulated events for the DZero experiment at Fermilab have been
historically produced by the โremoteโ collaborating institutions. One of the
principal challenges reported concerns the maintenance of the local software
infrastructure, which is generally different from site to site. As the understanding
of the community on distributed computing over distributively owned and...
A. Peters
(ce)
29/09/2004, 15:40
Track 5 - Distributed Computing Systems and Experiences
oral presentation
During the first half of 2004 the ALICE experiment has performed a large distributed
computing exercise with two major objectives: to test the ALICE computing model,
included distributed analysis, and to provide data sample for a refinement of the
ALICE Jet physics Monte-Carlo studies. Simulation reconstruction and analysis of
several hundred thousand events were performed, using the...
J. Closier
(CERN)
29/09/2004, 16:30
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The LHCb experiment performed its latest Data Challenge (DC) in May-July 2004.
The main goal was to demonstrate the ability of the LHCb grid system to carry out
massive production and efficient distributed analysis of the simulation data.
The LHCb production system called DIRAC provided all the necessary services for the
DC: Production and Bookkeeping Databases, File catalogs, Workload...
M. Mambelli
(UNIVERSITY OF CHICAGO)
29/09/2004, 16:50
Track 5 - Distributed Computing Systems and Experiences
oral presentation
We describe the design and operational experience of the ATLAS production system as
implemented for execution on Grid3 resources. The execution environment consisted
of a number of grid-based tools: Pacman for installation of VDT-based Grid3 services
and ATLAS software releases, the Capone execution service built from the
Chimera/Pegasus virtual data system for directed acyclic graph...
29/09/2004, 17:10
Track 5 - Distributed Computing Systems and Experiences
oral presentation
This talk describes the various stages of ATLAS Data Challenge 2 (DC2)
in what concerns usage of resources deployed via NorduGrid's Advanced
Resource Connector (ARC). It also describes the integration of these
resources with the ATLAS production system using the Dulcinea
executor.
ATLAS Data Challenge 2 (DC2), run in 2004, was designed to be a step
forward in the distributed data...
30/09/2004, 14:00
Track 5 - Distributed Computing Systems and Experiences
oral presentation
Project SETI@HOME has proven to be one of the biggest successes of
distributed computing during the last years. With a quite simple
approach SETI manages to process huge amounts of data using a vast
amount of distributed computer power.
To extend the generic usage of these kinds of distributed computing
tools, BOINC (Berkeley Open Infrastructure for Network Computing) is
being...
P E. Tissot-Daguette
(CERN)
30/09/2004, 14:20
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The AliEn system, an implementation of the Grid paradigm developed by
the ALICE Offline Project, is currently being used to produce and
analyse Monte Carlo data at over 30 sites on four continents. The
AliEn Web Portal is built around Open Source components with a
backend based on Grid Services and compliant with the OGSA model.
An easy and intuitive presentation layer gives the...
Julia ANDREEVA
(CERN)
30/09/2004, 14:40
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The ARDA project was started in April 2004 to support
the four LHC experiments (ALICE, ATLAS, CMS and LHCb)
in the implementation of individual
production and analysis environments based on the EGEE middleware.
The main goal of the project is to allow a fast feedback between the
experiment and the middleware development teams via the
construction and the usage of end-to-end...
M. Ballintijn
(MIT)
30/09/2004, 15:00
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The Parallel ROOT Facility, PROOF, enables a physicist to analyze and
understand very large data sets on an interactive time scale. It makes use
of the inherent parallelism in event data and implements an architecture
that optimizes I/O and CPU utilization in heterogeneous clusters with
distributed storage. Scaling to many hundreds of servers is essential
to process tens or hundreds of...
D. Adams
(BNL)
30/09/2004, 15:20
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The ATLAS distributed analysis (ADA) system is described. The ATLAS
experiment has more that 2000 physicists from 150 insititutions in
34 countries. Users, data and processing are distributed over these
sites. ADA makes use of a collection of high-level web services
whose interfaces are expressed in terms of AJDL (abstract job
definition language) which includes descriptions of...
F. van Lingen
(CALIFORNIA INSTITUTE OF TECHNOLOGY)
30/09/2004, 15:40
Track 5 - Distributed Computing Systems and Experiences
oral presentation
In this paper we report on the implementation of an early prototype
of distributed high-level services supporting grid-enabled data
analysis within the LHC physics community as part of the ARDA project
within the context of the GAE (Grid Analysis Environment) and begin
to investigate the associated complex behaviour of such an
end-to-end system. In particular, the prototype...
30/09/2004, 16:30
Track 5 - Distributed Computing Systems and Experiences
oral presentation
Any physicist who will analyse data from the LHC experiments will have to deal with
data and computing resources which are distributed across multiple locations and with
different access methods. GANGA helps the end user by tying in specifically to the
solutions for a given experiment ranging from specification of data to retrieval and
post-processing of produced output. For LHCb and ATLAS...
N. De Filippis
(UNIVERSITA' DEGLI STUDI DI BARI AND INFN)
30/09/2004, 16:50
Track 5 - Distributed Computing Systems and Experiences
oral presentation
During the CMS Data Challenge 2004 a realtime analysis was attempted
at INFN and PIC Tier-1 and Tier-2s in order to test the ability of
the instrumented methods to quickly process the data.
Several agents and automatic procedures were implemented to perform
the analysis at the Tier-1/2 synchronously with the data transfer
from Tier-0 at CERN. The system was implemented in the Grid...
K. Wu
(LAWRENCE BERKELEY NATIONAL LAB)
30/09/2004, 17:10
Track 5 - Distributed Computing Systems and Experiences
oral presentation
Nuclear and High Energy Physics experiments such as STAR at BNL are
generating millions of files with PetaBytes of data each year. In
most cases, analysis programs have to read all events in a file in
order to find the interesting ones.
Since most analyses are only interested in some subsets of events in
a number of files, a significant portion of the computer time is
wasted on...
T. Johnson
(SLAC)
30/09/2004, 17:30
Track 5 - Distributed Computing Systems and Experiences
oral presentation
The aim of the service is to allow fully distributed analysis of large volumes of
data while maintaining true (sub-second) interactivity. All the Grid related
components are based on OGSA style Grid services, and to the maximum extent uses
existing Globus Toolkit 3.0 (GT3) services. All transactions are authenticated and
authorized using GSI (Grid Security Infrastructure) mechanism -...
G R. Moloney
30/09/2004, 17:50
Track 5 - Distributed Computing Systems and Experiences
oral presentation
We have developed and deployed a data grid for the processing of data
from the Belle experiment, and for the production of simulated Belle
data. The Belle Analysis Data Grid brings together compute and storage
resources across five separate partners in Australia, and the
Computing Research Centre at the KEK laboratory in Tsukuba, Japan.
The data processing resouces are general...
A. Sill
(TEXAS TECH UNIVERSITY)
30/09/2004, 18:10
Track 5 - Distributed Computing Systems and Experiences
oral presentation
To maximize the physics potential of the data currently being taken, the CDF collaboration at Fermi National
Accelerator Laboratory has started to deploy user analysis computing facilities at several locations throughout
the world. Over 600 users are signed up and able to submit their physics analysis and simulation applications
directly from their desktop or laptop computers to these...
