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Performance of the NorduGrid ARC and the Dulcinea Executor in ATLAS Data Challenge 2

Sturrock, R.; Eerola, Paula LU ; Konya, Balazs LU ; Smirnova, Oxana LU ; Lindemann, Jonas LU and et, al. (2005) Computing in High Energy Physics CHEP'04 In CERN-2005-002 2. p.1095-1098
Abstract
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 processing. In particular, much

coordination of task assignment to resources was planned to be

delegated to Grid in its different flavours. An automatic production

management system was designed, to direct the tasks to Grids and

conventional resources.

... (More)
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 processing. In particular, much

coordination of task assignment to resources was planned to be

delegated to Grid in its different flavours. An automatic production

management system was designed, to direct the tasks to Grids and

conventional resources.



The Dulcinea executor is a part of this system that provides interface

to the information system and resource brokering capabilities of the

ARC middleware. The executor translates the job definitions recieved

from the supervisor to the extended resource specification language

(XRSL) used by the ARC middleware. It also takes advantage of the ARC

middleware's built-in support for the Globus Replica Location Server

(RLS) for file registration and lookup.



NorduGrid's ARC has been deployed on many ATLAS-dedicated resources

across the world in order to enable effective participation in ATLAS

DC2. This was the first attempt to harness large amounts of strongly

heterogeneous resources in various countries for a single

collaborative exercise using Grid tools. This talk addresses various

issues that arose during different stages of DC2 in this environment:

preparation, such as ATLAS software installation; deployment of the

middleware; and processing. The results and lessons are summarized as

well. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
NorduGrid ATLAS Data-challenge
in
CERN-2005-002
editor
Aimar, A.; Harvey, J. and Knoors, N.
volume
2
pages
4 pages
publisher
CERN
conference name
Computing in High Energy Physics CHEP'04
project
ATLAS
language
English
LU publication?
yes
id
7d86c063-5180-46ab-9f04-3979e570ed67 (old id 979573)
date added to LUP
2008-01-28 22:01:31
date last changed
2016-04-16 09:33:04
@misc{7d86c063-5180-46ab-9f04-3979e570ed67,
  abstract     = {This talk describes the various stages of ATLAS Data Challenge 2 (DC2)<br/><br>
in what concerns usage of resources deployed via NorduGrid's Advanced<br/><br>
Resource Connector (ARC). It also describes the integration of these<br/><br>
resources with the ATLAS production system using the Dulcinea<br/><br>
executor.<br/><br>
<br/><br>
ATLAS Data Challenge 2 (DC2), run in 2004, was designed to be a step<br/><br>
forward in the distributed data processing. In particular, much<br/><br>
coordination of task assignment to resources was planned to be<br/><br>
delegated to Grid in its different flavours. An automatic production<br/><br>
management system was designed, to direct the tasks to Grids and<br/><br>
conventional resources.<br/><br>
<br/><br>
The Dulcinea executor is a part of this system that provides interface<br/><br>
to the information system and resource brokering capabilities of the<br/><br>
ARC middleware. The executor translates the job definitions recieved<br/><br>
from the supervisor to the extended resource specification language<br/><br>
(XRSL) used by the ARC middleware. It also takes advantage of the ARC<br/><br>
middleware's built-in support for the Globus Replica Location Server<br/><br>
(RLS) for file registration and lookup.<br/><br>
<br/><br>
NorduGrid's ARC has been deployed on many ATLAS-dedicated resources<br/><br>
across the world in order to enable effective participation in ATLAS<br/><br>
DC2. This was the first attempt to harness large amounts of strongly<br/><br>
heterogeneous resources in various countries for a single<br/><br>
collaborative exercise using Grid tools. This talk addresses various<br/><br>
issues that arose during different stages of DC2 in this environment:<br/><br>
preparation, such as ATLAS software installation; deployment of the<br/><br>
middleware; and processing. The results and lessons are summarized as<br/><br>
well.},
  author       = {Sturrock, R. and Eerola, Paula and Konya, Balazs and Smirnova, Oxana and Lindemann, Jonas and et, al.},
  editor       = {Aimar, A. and Harvey, J. and Knoors, N.},
  keyword      = {NorduGrid ATLAS Data-challenge},
  language     = {eng},
  pages        = {1095--1098},
  publisher    = {ARRAY(0xa724a10)},
  series       = {CERN-2005-002},
  title        = {Performance of the NorduGrid ARC and the Dulcinea Executor in ATLAS Data Challenge 2},
  volume       = {2},
  year         = {2005},
}