T. Coviello
(INFN Via E. Orabona 4 I - 70126 Bari Italy)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
A grid system is a set of heterogeneous computational and storage
resources, distributed on a large geographic scale, which belong to
different administrative domains and serve several different
scientific communities named Virtual Organizations (VOs). A virtual
organization is a group of people or institutions which collaborate
to achieve common objectives. Therefore such system has...
G. Rubini
(INFN-CNAF)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Analyzing Grid monitoring data requires the capability of dealing with
multidimensional concepts intrinsic to Grid systems. The meaningful
dimensions identified in recent works are the physical dimension
referring to geographical location of resources, the Virtual
Organization (VO) dimension, the time dimension and the monitoring
metrics dimension. In this paper, we discuss the...
M. Jones
(Manchester University)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The BaBar experiment has accumulated many terabytes of data on
particle physics reactions, accessed by a community of hundreds of
users.
Typical analysis tasks are C++ programs, individually written by the
user, using shared templates and libraries. The resources have
outgrown a single platform and a distributed computing model is
needed. The grid provides the natural toolset....
T. Coviello
(DEE – POLITECNICO DI BARI, V. ORABONA, 4, 70125 – BARI,ITALY)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Grid computing is a large scale geographically distributed and
heterogeneous system that provides a common platform for running
different grid enabled applications. As each application has
different characteristics and requirements, it is a difficult
task to develop a scheduling strategy able to achieve optimal
performance because application-specific and dynamic system status
have...
The ARDA Team
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
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...
D. Malon
(ANL)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
As ATLAS begins validation of its computing model in 2004, requirements
imposed upon ATLAS data management software move well beyond simple persistence,
and beyond the "read a file, write a file" operational model that has sufficed for
most simulation production. New functionality is required to support the
ATLAS Tier 0 model, and to support deployment in a globally distributed...
L. Poncet
(LAL-IN2p3)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
In the last few years grid software (middleware) has become available
from various sources. However, there are no standards yet which
allow for an easy integration of different services.
Moreover, middleware was produced by different projects with the main
goal of developing new functionalities rather than production quality
software.
In the context of the LHC Computing Grid...
T. Wlodek
(Brookhaven National Lab)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
A description of a Condor-based, Grid-aware batch
software system configured to function asynchronously
with a mass storage system is presented. The software
is currently used in a large Linux Farm (2700+
processors) at the RHIC and ATLAS Tier 1 Computing
Facility at Brookhaven Lab. Design, scalability,
reliability, features and support issues with a
complex Condor-based batch...
A. Wagner
(CERN)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
CERN has about 5500 Desktop PCs. These computers offer a large pool of resources
that can be used for physics calculations outside office hours.
The paper describes a project to make use of the spare CPU cycles of these PCs for
LHC tracking studies. The client server application is implemented as a lightweight,
modular screensaver and a Web Application containing the physics job...
P. Love
(Lancaster University)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Building on several years of sucess with the MCRunjob projects at
DZero and CMS, the fermilab sponsored joint Runjob project aims to
provide a Workflow description language common to three experiments:
DZero, CMS and CDF. This project will encapsulate the remote
processing experiences of the three experiments in an extensible
software architecture using web services as...
T. Harenberg
(UNIVERSITY OF WUPPERTAL)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The D0 experiment at the Tevatron is collecting some 100 Terabytes of data
each year and has a very high need of computing resources for the various
parts of the physics program. D0 meets these demands by establishing a
world - increasingly based on GRID technologies.
Distributed resources are used for D0 MC production and data
reprocessing of 1 billion events, requiring 250 TB to be...
O. Smirnova
(Lund University, Sweden)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
In common grid installations, services responsible for storing big data
chunks, replication of those data and indexing their availability are usually
completely decoupled. And a task of synchronizing data is passed to either
user-level tools or separate services (like spiders) which are subject to
failure and usually cannot perform properly if one of underlying services
fails too.
The...
D. Wicke
(Fermilab)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
Abstract:
The D0 experiment faces many challenges enabling access to large
datasets for physicists on 4 continents. The strategy of solving these
problems on worlwide distributed computing clusters is followed.
Already since the begin of TEvatron RunII (March 2001) all Monte-Carlo
simulations are produced outside of Fermilab at remote systems. For
analyses
as system of regional...
L. Lueking
(FERMILAB)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The Run II experiments at Fermilab, CDF and D0, have extensive database needs
covering many areas of their online and offline operations. Delivery of the data to
users and processing farms based around the world has represented major challenges to
both experiments. The range of applications employing databases includes data
management, calibration (conditions), trigger information, run...
S. Stonjek
(Fermi National Accelerator Laboratory / University of Oxford)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
CDF is an experiment at the Tevatron at Fermilab. One dominating
factor of the experiments' computing model is the high volume of raw,
reconstructed and generated data. The distributed data handling
services within SAM move these data to physics analysis
applications. The SAM system was already in use at the D-Zero
experiment. Due to difference in the computing model of the...
I. Stokes-Rees
(UNIVERSITY OF OXFORD PARTICLE PHYSICS)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The DIRAC system developed for the CERN LHCb experiment is a grid
infrastructure for managing generic simulation and analysis jobs. It
enables jobs to be distributed across a variety of computing
resources, such as PBS, LSF, BQS, Condor, Globus, LCG, and individual
workstations.
A key challenge of distributed service architectures is that there is
no single point of control over...
V. garonne
(CPPM-IN2P3 MARSEILLE)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The Workload Management System (WMS) is the core component of the
DIRAC distributed MC production and analysis grid of the LHCb
experiment. It uses a central Task database which is accessed via
a set of central Services with Agents running on each of the LHCb
sites. DIRAC uses a 'pull' paradigm where Agents request tasks
whenever they detect their local resources are available.
The...
M.G. Pia
(INFN GENOVA)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
We show how nowadays it is possible to achieve the goal of accuracy and fast computation response in radiotherapic dosimetry using Monte Carlo
methods, together with a distributed computing model.
Monte Carlo methods have never been used in clinical practice because, even if they are more accurate than available commercial software, the
calculation time needed to accumulate sufficient...
L. Guy
(CERN)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Extensive and thorough testing of the EGEE middleware is essential to ensure that
a production quality Grid can be deployed on a large scale as well as
across the broad range of heterogeneous resources that make up the hundreds of
Grid computing centres both in Europe and worldwide.
Testing of the EGEE middleware encompasses the tasks of both verification and
validation. In adition...
L. Matyska
(CESNET, CZECH REPUBLIC)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The Logging and Bookkeeping service tracks job passing through the Grid. It collects
important events generated by both the grid middleware components and
applications, and processes them at a chosen L&B server to provide the job
state. The events are transported through secure reliable channels. Job
tracking is fully distributed and does not depend on a single information
source, the...
P. Mendez Lorenzo
(CERN IT/GD)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
In a Grid environment, the access to information on system resources is a necessity
in order to perform common tasks such as matching job requirements with available
resources, accessing files or presenting monitoring information. Thus both
middleware service, like workload and data management, and applications, like
monitoring tools, requiere an interface to the Grid information...
X. Zhao
(Brookhaven National Laboratory)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
This paper describes the deployment and configuration of the
production system for ATLAS Data Challenge 2 starting in May 2004,
at Brookhaven National Laboratory, which is the Tier1 center in
the United States for the International ATLAS experiment. We will
discuss the installation of Windmill (supervisor) and Capone (executor)
software packages on the submission host and the relevant...
R. santinelli
(CERN/IT/GD)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The management of Application and Experiment Software represents a very
common issue in emerging grid-aware computing infrastructures.
While the middleware is often installed by system administrators at a site
via customized tools that serve also for the centralized management of
the entire computing facility, the problem of installing, configuring and
validating Gigabytes of Virtual...
R. Walker
(Simon Fraser University)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
A large number of Grids have been developed, motivated by
geo-political or application requirements. Despite being mostly based
on the same underlying middleware, the Globus Toolkit, they are
generally not inter-operable for a variety of reasons. We present a
method of federating those disparate grids which are based on the
Globus Toolkit, together with a concrete example of interfacing...
V. Fine
(BROOKHAVEN NATIONAL LABORATORY)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Most HENP experiment software includes a logging or tracing API allowing for
displaying in a particular format important feedback coming from the core
application. However, inserting log statements into the code is a low-tech method
for tracing the program execution flow and often leads to a flood of messages in
which the relevant ones are occluded. In a distributed computing...
R. Barbera
(Univ. Catania and INFN Catania)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
Computational and data grids are now entering a more mature phase where experimental
test-beds are turned into production quality infrastructures operating around the
clock. All this is becoming true both at national level, where an example is the
Italian INFN production grid (http://grid-it.cnaf.infn.it), and at the continental
level, where the most strinking example is the European Union...
T. ANTONI
(GGUS)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
For very large projects like the LHC Computing Grid Project (LCG) involving 8,000
scientists from all around the world, it is an indispensable requirement to have a
well organized user support. The Institute for Scientific Computing at the
Forschungszentrum Karlsruhe started implementing a Global Grid User Support (GGUS)
after official assignment of the Grid Deployment Board in March...
A. Retico
(CERN)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The installation and configuration of LCG middleware, as it is currently being done,
is complex and delicate.
An “accurate” configuration of all the services of LCG middleware requires a deep
knowledge of the inside dynamics and hundreds of parameters to be dealt with. On the
other hand, the number of parameters and flags that are strictly needed in order to
run a working ”default”...
L. Field
(CERN)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
This paper reports on the deployment experience of the defacto grid
information system, Globus MDS, in a large scale production grid. The
results of this experience led to the development of an information
caching system based on a standard openLDAP database. The paper then
describes how this caching system was developed further into
a production quality information system including a...
H. Tallini
(IMPERIAL COLLEGE LONDON)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
GROSS (GRidified Orca Submission System) has been developed to provide CMS
end users with a single interface for running batch analysis tasks over
the LCG-2 Grid. The main purpose of the tool is to carry out job
splitting, preparation, submission, monitoring and archiving in a
transparent way which is simple to use for the end user. Central to its
design has been the requirement for...
A. Gellrich
(DESY)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
DESY is one of the world-wide leading centers for research with particle
accelerators and a center for research with synchrotron light.
The hadron-electron collider HERA houses four experiments which are taking
data and will be operated until 2006 at least.
The computer center manages a data volumes of order 1 PB and is the home
for around 1000 CPUs.
In 2003 DESY started to set up a...
M. Burgon-Lyon
(UNIVERSITY OF GLASGOW)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
JIM (Job and Information Management) is a grid extension to the mature data handling
system called SAM (Sequential Access via Metadata) used by the CDF, DZero and Minos
Experiments based at Fermilab. JIM uses a thin client to allow job submissions from
any computer with Internet access, provided the user has a valid certificate or
kerberos ticket. On completion the job output can be...
A. Anjum
(NIIT)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
In the context of Interactive Grid-Enabled Analysis Environment
(GAE), physicists desire bi-directional interaction with the job
they submitted. In one direction, monitoring information about the
job and hence a “progress bar” should be provided to them. On other
direction, physicist should be able to control their jobs. Before
submission, they may direct the job to some specified...
A. Anjum
(NIIT)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Grid is emerging as a great computational resource but its dynamic behaviour makes
the Grid environment unpredictable. System failure or network failure can occur or
the system performance can degrade. So once the job has been submitted monitoring
becomes very essential for user to ensure that the job is completed in an efficient
way. In current environments once user submits a job he...
G. Donvito
(UNIVERSITà DEGLI STUDI DI BARI),
G. Tortone
(INFN Napoli)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
In a wide-area distributed and heterogeneous grid environment, monitoring
represents an important and crucial task. It includes system status checking,
performance tuning, bottlenecks detecting, troubleshooting, fault notifying. In
particular a good monitoring infrastructure must provide the information to
track down the current status of a job in order to locate any problems....
E.M.V. Fasanelli
(I.N.F.N.)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The infn.it AFS cell has been providing a useful single file-space and authentication mechanism for the whole
INFN, but the lack of a distributed management system, has lead several INFN sections and LABs to setup local
AFS cells. The hierarchical transitive cross-realm authentication introduced in the Kerberos 5 protocol and the
new versions of the OpenAFS and MIT implementation of...
D. Rebatto
(INFN - MILANO)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
In this paper we present an overview of the implementation of the LCG
interface for the ATLAS production system. In order to take profit
of the features provided by DataGRID software, on which LCG is based,
we implemented a Python module, seamless integrated into the Workload
Management System, which can be used as an object-oriented API to the
submission services. On top of it we...
L. Tuura
(NORTHEASTERN UNIVERSITY, BOSTON, MA, USA)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Experiments frequently produce many small data files for reasons beyond their control, such as output
splitting into physics data streams, parallel processing on large farms, database technology incapable of
concurrent writes into a single file, and constraints from running farms reliably. Resulting data file size is
often far from ideal for network transfer and mass storage performance....
S. Thorn
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The University of Edinburgh has an significant interest in mass storage systems as it
is one of the core groups tasked with the roll out of storage software for the UK's
particle physics grid, GridPP. We present the results of a development project to
provide software interfaces between the SDSC Storage Resource Broker, the EU DataGrid
and the Storage Resource Manager. This project was...
I. Legrand
(CALTECH)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The design and optimization of the Computing Models for the future LHC experiments,
based on the Grid technologies, requires a realistic and effective modeling and
simulation of the data access patterns, the data flow across the local and wide area
networks, and the scheduling and workflow created by many concurrent, data intensive
jobs on large scale distributed systems.
This paper...
E. Berman
(FERMILAB)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Fermilab operates a petabyte scale storage system, Enstore, which is the
primary data store for experiments' large data sets. The Enstore system
regularly transfers greater than 15 Terabytes of data each day. It is designed using a
client-server architecture providing sufficient modularity to allow easy addition and
replacement of hardware and software components. Monitoring of this...
G. Zito
(INFN BARI)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The complexity of the CMS Tracker (more than 50 million channels to monitor) now in
construction in ten laboratories worldwide with hundreds of interested people , will
require new tools for monitoring both the hardware and the software. In our approach
we use both visualization tools and Grid services to make this monitoring possible.
The use of visualization enables us to represent...
D. Sanders
(UNIVERSITY OF MISSISSIPPI)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
High-energy physics experiments are currently recording large amounts of data and in a few years will be
recording prodigious quantities of data. New methods must be developed to handle this data and make
analysis at universities possible. Grid Computing is one method; however, the data must be cached at the
various Grid nodes. We examine some storage techniques that exploit recent...
I. Adachi
(KEK)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The Belle experiment has accumulated an integrated
luminosity of more than 240fb-1 so far, and a daily logged
luminosity has exceeded 800pb-1. This requires more
efficient and reliable way of event processing. To meet
this requirement, new offline processing scheme has been
constructed, based upon technique employed for the Belle
online reconstruction farm. Event processing is...
E. Berdnikov
(INSTITUTE FOR HIGH ENERGY PHYSICS, PROTVINO, RUSSIA)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The scope of this work is the study of scalability limits of the
Certification Authority (CA), running for large scale GRID environments.
The operation of Certification Authority is analyzed from the view of
the rate of incoming requests, complexity of authentication procedures,
LCG security restrictions and other limiting factors. It is shown, that
standard CA operational...
C. Nicholson
(UNIVERSITY OF GLASGOW)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
In large-scale Grids, the replication of files to different sites is an important
data management mechanism which can reduce access latencies and give improved usage
of resources such as network bandwidth, storage and computing power.
In the search for an optimal data replication strategy, the Grid simulator OptorSim
was developed as part of the European DataGrid project. Simulations of...
G. Shabratova
(Joint Institute for Nuclear Research (JINR))
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The report presents an analysis of the Alice Data Challenge 2004.
This Data Challenge has been performed on two different distributed
computing environments. The first one is the Alice Environment for
distributed computing (AliEn) used standalone. Presently this
environment allows ALICE physicists to obtain results on simulation,
reconstruction and analysis of data in ESD format for...
S. Mrenna
(FERMILAB)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
PATRIOT is a project that aims to provide better predictions of
physics events for the high-Pt physics program of Run2 at the
Tevatron collider.
Central to Patriot is an enstore or mass storage repository for files
describing the high-Pt physics predictions. These are typically
stored as StdHep files which can be handled by CDF and
D0 and run through detector and triggering...
B. Quinn
(The University of Mississippi)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The D0 experiment at Fermilab's Tevatron will record several petabytes of data over
the next five years in pursuing the goals of understanding nature and searching for
the origin of mass. Computing resources required to analyze these data far exceed
the capabilities of any one institution. Moreover, the widely scattered
geographical distribution of collaborators poses further serious...
A. Anjum
(NIIT)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Grid computing provides key infrastructure for distributed problem solving in
dynamic virtual organizations. However, Grids are still the domain of a few highly
trained programmers with expertise in networking, high-performance computing, and
operating systems.
One of the big issues in the full-scale usage of a grid is the matching of the
resource requirements of a job submission to...
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
For The BaBar Computing Group
BaBar has recently moved away from using Objectivity/DB for it's event
store towards a ROOT-based event store. Data in the new format is
produced at about 20 institutions worldwide as well as at SLAC. Among
new challenges are the organization of data export from remote
institutions, archival at SLAC and making the data visible to users
for analysis and...
A. Hasan
(SLAC)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
We describe the production experience gained from implementing and using
exclusively the San Diego Super Computer Center developed Storage Resource Broker
(SRB) to distribute the BaBar experiment's production event data stored in ROOT
files from the experiment center at SLAC, California, USA to a Tier A computing
center at ccinp3, Lyon France. In addition we outline how the system can...
D. Andreotti
(INFN Sezione di Ferrara)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The BaBar experiment has been taking data since 1999. In 2001 the computing group
started to evaluate the possibility to evolve toward a distributed computing model in
a Grid environment. In 2003, a new computing model, described in other talks, was
implemented, and ROOT I/O is now being used as the Event Store. We implemented a
system, based onthe LHC Computing Grid (LCG) tools, to submit...
I. Terekhov
(FERMI NATIONAL ACCELERATOR LABORATORY)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
SAMGrid is a globally distributed system for data handling and job management,
developed at Fermilab for the D0 and CDF experiments in Run II. The Condor
system is being developed at the University of Wisconsin for management
of distributed resources, computational and otherwise. We briefly review the
SAMGrid architecture and its interaction with Condor, which was presented
earlier. We...
A. Lyon
(FERMI NATIONAL ACCELERATOR LABORATORY)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The SAMGrid team is in the process of implementing a monitoring and
information service, which fulfills several important roles in the
operation of the SAMGrid system, and will replace the first
generation of monitoring tools in the current deployments. The first
generation tools are in general based on text logfiles and
represent solutions which are not scalable or maintainable. The...
E. Slabospitskaya
(Institute for High Energy Physics,Protvino,Russia)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Storage Resource Manager (SRM) and Grid File Access Library (GFAL) are GRID
middleware components used for transparent access to Storage Elements. SRM provides a
common interface (WEB service) to backend systems giving dynamic space allocation and
file management. GFAL provides a mechanism whereby an application software can access
a file at a site without having to know which transport...
V. Bartsch
(OXFORD UNIVERSITY)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
To distribute computing for CDF (Collider Detector at Fermilab) a system managing
local compute and storage resources is needed. For this purpose CDF will use the
DCAF (Decentralized CDF Analysis Farms) system which is already at Fermilab. DCAF
has to work with the data handling system SAM (Sequential Access to data via
Metadata). However, both DCAF and SAM are mature systems which...
R. JONES
(LANCAS)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The ATLAS Computing Model is under continuous active development.
Previous exercises focussed on the Tier-0/Tier-1 interactions, with
an emphasis on the resource implications and only a high-level view
of the data and workflow. The work presented here considerably
revises the resource implications, and attempts to describe in some
detail the data and control flow from the High Level...
Douglas Smith
(Stanford Linear Accelerator Center)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The new BaBar bookkeeping system comes with tools to directly support
data analysis tasks. This Task Manager system acts as an interface
between datasets defined in the bookkeeping system, which are used as
input to analyzes, and the offline analysis framework. The Task
Manager organizes the processing of the data by creating specific jobs
to be either submitted to a batch system, or...
A. Boehnlein
(FERMI NATIONAL ACCELERATOR LABORATORY)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The D0 experiment relies on large scale computing systems to achieve her
physics goals. As the experiment lifetime spans, multiple generations of
computing hardware, it is fundemental to make projective models in to use
available resources to meet the anticipated needs. In addition, computing
resources can be supplied as in-kind contributions by collaborating
institutions and...
C. ARNAULT
(CNRS)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
One of the most important problems in software management of a very
large and complex project such as Atlas is how to deploy the software
on the running sites. By running sites we include computer sites
ranging from computing centers in the usual sense down to individual
laptops but also the computer elements of a computing grid
organization. The deployment activity consists in...
S. Bagnasco
(INFN Torino)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
AliEn (ALICE Environment) is a GRID middleware developed and used in the context of ALICE, the CERN LHC
heavy-ion experiment. In order to run Data Challenges exploiting both AliEn “native” resources and any
infrastructure based on EDG-derived middleware (such as the LCG and the Italian GRID.IT), an interface
system was designed and implemented; some details of a prototype were already...
J. kennedy
(LMU Munich)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
This paper presents an overview of the legacy interface provided for
the ATLAS DC2 production system. The term legacy refers to any
non-grid system which may be deployed for use within DC2. The
reasoning behind providing such a service for DC2 is twofold in
nature. Firstly, the legacy interface provides a backup solution
should unforeseen problems occur while developing the grid...
A. Kreymer
(FERMILAB)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
The Fermilab CDF Run-II experiment is now providing official support for
remote computing, expanding this to about 1/4 of the total CDF computing
during the Summer of 2004.
I will discuss in detail the extensions to CDF software distribution
and configuration tools and procedures, in support of CDF GRID/DCAF
computing for Summer 2004. We face the challenge of unreliable networks,
time...
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
In the High Energy Physics (HEP) community, Grid technologies have
been accepted as solutions to the distributed computing problem.
Several Grid projects have provided software in the last years. Among
of all them, the LCG - especially aimed at HEP applications -
provides a set of services and respective client interfaces, both in
the form of command line tools as well as programming...
P. Cerello
(INFN Torino)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
Breast cancer screening programs require managing and accessing a
huge amount of data, intrinsically distributed, as they are collected
in different Hospitals. The development of an application based on
Computer Assisted Detection algorithms for the analysis of digitised
mammograms in a distributed environment is a typical GRID use case.
In particular, AliEn (ALICE Environment)...
O. SMIRNOVA
(Lund University, Sweden)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
The Nordic Grid facility (NorduGrid) came into production operation during
the summer of 2002 when the Scandinavian Atlas HEP group started to use
the Grid for the Atlas Data Challenges and was thus the first Grid ever
contributing to an Atlas production. Since then, the Grid facility has
been in continuous 24/7 operation offering an increasing number of
resources to a growing set of...
E. Perez-Calle
(CIEMAT)
29/09/2004, 10:00
Track 4 - Distributed Computing Services
poster
Expansion of large computing fabrics/clusters throughout the world would
create a need for stricter security. Otherwise any system could suffer damages
such as data loss, data falsification or misuse.
Perimeter security and intrusion detection system (IDS) are the two main
aspects that must be taken into account in order to achieve system security.
The main target of an intrusion...
F. Furano
(INFN Padova)
29/09/2004, 10:00
Track 5 - Distributed Computing Systems and Experiences
poster
This paper describes XTNetFile, the client side of a project
conceived to address the high demand data access needs of modern
physics experiments such as BaBar using the ROOT framework. In this
context, a highly scalable and fault tolerant client/server
architecture for data access has been designed and deployed which
allows thousands of batch jobs and interactive sessions to...
