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005     20210129220844.0
024 7 _ |a 10.1109/MIPRO.2015.7160278
|2 doi
037 _ _ |a FZJ-2015-06792
041 _ _ |a English
100 1 _ |a Memon, Mohammad Shahbaz
|0 P:(DE-Juel1)132190
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 38th International Convention on Information and Communication Technology, Electronics and Microelectronics
|g MIPRO 2015
|c Opatija
|d 2015-05-25 - 2015-05-29
|w Croatia
245 _ _ |a Interoperable job execution and data access through UNICORE and the Global Federated File System
260 _ _ |c 2015
|b IEEE
295 1 0 |a 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) : [Proceedings] - IEEE, 2015. - ISBN 978-9-5323-3082-3
300 _ _ |a 269 - 274
336 7 _ |a Contribution to a conference proceedings
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|m contrib
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336 7 _ |a Conference Paper
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336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Output Types/Conference Paper
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336 7 _ |a conferenceObject
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336 7 _ |a INPROCEEDINGS
|2 BibTeX
520 _ _ |a Computing middlewares play a vital role for abstracting complexities of backend resources by providing a seamless access to heterogeneous execution management services. Scientific communities are taking advantage of such technologies to focus on science rather than dealing with technical intricacies of accessing resources. Multi-disciplinary communities often bring dynamic requirements which are not trivial to realize. Specifically, to attain massivley parallel data processing on supercomputing resources which require an access to large data sets from widely distributed and dynamic sources located across organizational boundaries. In order to support this abstract scenario, we bring a combination that integrates UNICORE middleware and the Global Federated File System. Furthermore, the paper gives architectural and implementation perspective of UNICORE extension and its interaction with Global Federated File System space through computing, data and security standards.
536 _ _ |a 512 - Data-Intensive Science and Federated Computing (POF3-512)
|0 G:(DE-HGF)POF3-512
|c POF3-512
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef Conference
700 1 _ |a Riedel, Morris
|0 P:(DE-Juel1)132239
|b 1
|u fzj
700 1 _ |a Koeritz, Chris
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Grimshaw, Andrew
|0 P:(DE-HGF)0
|b 3
773 _ _ |a 10.1109/MIPRO.2015.7160278
909 C O |o oai:juser.fz-juelich.de:276332
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910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
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910 1 _ |a Forschungszentrum Jülich GmbH
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913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-512
|2 G:(DE-HGF)POF3-500
|v Data-Intensive Science and Federated Computing
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2015
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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