1. |
- Eerola, Paula, et al.
(författare)
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Atlas Data-Challenge 1 on NorduGrid
- 2003
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Konferensbidrag (refereegranskat)abstract
- The first LHC application ever to be executed in a computational Grid environment is the so-called ATLAS Data-Challenge 1, more specifically, the part assigned to the Scandinavian members of the ATLAS Collaboration. Taking advantage of the NorduGrid testbed and tools, physicists from Denmark, Norway and Sweden were able to participate in the overall exercise starting in July 2002 and continuing through the rest of 2002 and the first part of 2003 using solely the NorduGrid environment. This allowed to distribute input data over a wide area, and rely on the NorduGrid resource discovery mechanism to find an optimal cluster for job submission. During the whole Data-Challenge 1, more than 2 TB of input data was processed and more than 2.5 TB of output data was produced by more than 4750 Grid jobs.
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2. |
- Eerola, Paula, et al.
(författare)
-
Atlas Data-Challenge 1 on NorduGrid
- 2003
-
Ingår i: Proceedings of CHEP 2003.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The first LHC application ever to be executed in a computational Grid environment is the so-called ATLAS Data-Challenge 1, more specifically, the part assigned to the Scandinavian members of the ATLAS Collaboration. Taking advantage of the NorduGrid testb
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3. |
- Eerola, Paula, et al.
(författare)
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Building a Production Grid in Scandinavia
- 2003
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Ingår i: IEEE Internet Computing. - : IEEE. ; 7:4, s. 27-35
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The aim of the NorduGrid project is to build and operate a production grid infrastructure in Scandinavia and Finland. By developing innovative middleware solutions, it enables a 24/7 production-level test bed. Through a common access layer, NorduGrid conn
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4. |
- Eerola, Paula, et al.
(författare)
-
The NorduGrid architecture and tools
- 2003
-
Konferensbidrag (refereegranskat)abstract
- The NorduGrid project designed a Grid architecture with the primary goal to meet the requirements of production tasks of the LHC experiments. While it is meant to be a rather generic Grid system, it puts emphasis on batch processing suitable for problems encountered in High Energy Physics. The NorduGrid architecture implementation uses the Globus ToolkitTM as the foundation for various components, developed by the project. While introducing new services, the NorduGrid does not modify the Globus tools, such that the two can eventually co-exist. The NorduGrid topology is decentralized, avoiding a single point of failure. The NorduGrid architecture is thus a light-weight, non-invasive and dynamic one, while robust and scalable, capable of meeting most challenging tasks of High Energy Physics.
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5. |
- Eerola, Paula, et al.
(författare)
-
The NorduGrid architecture and tools
- 2003
-
Ingår i: Proceedings of CHEP 2003.
-
Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The NorduGrid project designed a Grid architecture with the primary goal to meet the requirements of production tasks of the LHC experiments. While it is meant to be a rather generic Grid system, it puts emphasis on batch processing suitable for problems
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6. |
- Eerola, Paula, et al.
(författare)
-
The NorduGrid production Grid infrastructure, status and plans
- 2003
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Ingår i: Proc. Fourth International Workshop on Grid Computing. ; , s. 158-165
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- NorduGrid offers reliable Grid services for academic users over an increasing set of computing & storage resources spanning through the Nordic countries Denmark, Finland, Norway and Sweden. A small group of scientists has already been using the NorduGrid
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7. |
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8. |
- Smirnova, Oxana, et al.
(författare)
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The NorduGrid Architecture And Middleware for Scientific Applications
- 2003
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Ingår i: Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin Heidelberg. ; 2657, s. 264-273
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The NorduGrid project operates a production Grid infrastructure in Scandinavia and Finland using own innovative middleware solutions. The resources range from small test clusters at academic institutions to large farms at several supercomputer centers, a
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