Applications of Virtual Data in the LIGO Experiment
Identifieur interne : 000430 ( Main/Exploration ); précédent : 000429; suivant : 000431Applications of Virtual Data in the LIGO Experiment
Auteurs : Ewa Deelman [États-Unis] ; Carl Kesselman [États-Unis] ; Roy Williams [États-Unis] ; Kent Blackburn [États-Unis] ; Albert Lazzarini [États-Unis] ; Scott Koranda [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Many Physics experiments today generate large volumes of data. That data is then processed in many ways in order to achieve the understanding of fundamental physical phenomena. Virtual Data is a concept that unifies the view of the data whether it is raw or derived. It provides a new degree of transparency in how data-handling and processing capabilities are integrated to deliver data products to end-users or applications, so that requests for such products are easily mapped into computation and/or data access at multiple locations. GriPhyN (Grid Physics Network) is a NSF-funded project, which aims to realize the concepts of Virtual Data. Among the physics applications participating in the project is the Laser Interferometer Gravitational-wave Observatory (LIGO), which is being built to observe the gravitational waves predicted by general relativity. LIGO will produce large amounts of data, which are expected to reach hundreds of petabytes over the next decade. Large communities of scientists, distributed around the world, need to access parts of these datasets and perform efficient analysis on them. It is expected that the raw and processed data will be distributed among various national centers, university computing centers, and individual workstations. In this paper we describe some of the challenges associated with building Virtual Data Grids for experiments such as LIGO.
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DOI: 10.1007/3-540-48086-2_3
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type="state">Californie</region></placeName><wicri:cityArea>LIGO Laboratory at Caltech, 18-34 Caltech, 91125, Pasadena</wicri:cityArea></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author><author><name sortKey="Koranda, Scott" sort="Koranda, Scott" uniqKey="Koranda S" first="Scott" last="Koranda">Scott Koranda</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><placeName><region type="state">Wisconsin</region></placeName><wicri:cityArea>UWM Department of Physics, 1900 East Kenwood Blvd, 53211, Milwaukee</wicri:cityArea></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">13AB9547D5D65F774245164E6254FC94196C497E</idno><idno type="DOI">10.1007/3-540-48086-2_3</idno><idno type="ChapterID">3</idno><idno type="ChapterID">Chap3</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Many Physics experiments today generate large volumes of data. That data is then processed in many ways in order to achieve the understanding of fundamental physical phenomena. Virtual Data is a concept that unifies the view of the data whether it is raw or derived. It provides a new degree of transparency in how data-handling and processing capabilities are integrated to deliver data products to end-users or applications, so that requests for such products are easily mapped into computation and/or data access at multiple locations. GriPhyN (Grid Physics Network) is a NSF-funded project, which aims to realize the concepts of Virtual Data. Among the physics applications participating in the project is the Laser Interferometer Gravitational-wave Observatory (LIGO), which is being built to observe the gravitational waves predicted by general relativity. LIGO will produce large amounts of data, which are expected to reach hundreds of petabytes over the next decade. Large communities of scientists, distributed around the world, need to access parts of these datasets and perform efficient analysis on them. It is expected that the raw and processed data will be distributed among various national centers, university computing centers, and individual workstations. In this paper we describe some of the challenges associated with building Virtual Data Grids for experiments such as LIGO.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li><li>Wisconsin</li></region></list><tree><country name="États-Unis"><region name="Californie"><name sortKey="Deelman, Ewa" sort="Deelman, Ewa" uniqKey="Deelman E" first="Ewa" last="Deelman">Ewa Deelman</name></region><name sortKey="Blackburn, Kent" sort="Blackburn, Kent" uniqKey="Blackburn K" first="Kent" last="Blackburn">Kent Blackburn</name><name sortKey="Blackburn, Kent" sort="Blackburn, Kent" uniqKey="Blackburn K" first="Kent" last="Blackburn">Kent Blackburn</name><name sortKey="Deelman, Ewa" sort="Deelman, Ewa" uniqKey="Deelman E" first="Ewa" last="Deelman">Ewa Deelman</name><name sortKey="Kesselman, Carl" sort="Kesselman, Carl" uniqKey="Kesselman C" first="Carl" last="Kesselman">Carl Kesselman</name><name sortKey="Kesselman, Carl" sort="Kesselman, Carl" uniqKey="Kesselman C" first="Carl" last="Kesselman">Carl Kesselman</name><name sortKey="Koranda, Scott" sort="Koranda, Scott" uniqKey="Koranda S" first="Scott" last="Koranda">Scott Koranda</name><name sortKey="Koranda, Scott" sort="Koranda, Scott" uniqKey="Koranda S" first="Scott" last="Koranda">Scott Koranda</name><name sortKey="Lazzarini, Albert" sort="Lazzarini, Albert" uniqKey="Lazzarini A" first="Albert" last="Lazzarini">Albert Lazzarini</name><name sortKey="Lazzarini, Albert" sort="Lazzarini, Albert" uniqKey="Lazzarini A" first="Albert" last="Lazzarini">Albert Lazzarini</name><name sortKey="Williams, Roy" sort="Williams, Roy" uniqKey="Williams R" first="Roy" last="Williams">Roy Williams</name><name sortKey="Williams, Roy" sort="Williams, Roy" uniqKey="Williams R" first="Roy" last="Williams">Roy Williams</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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