A Framework for the Design and Reuse of Grid Workflows
Identifieur interne : 000295 ( Istex/Corpus ); précédent : 000294; suivant : 000296A Framework for the Design and Reuse of Grid Workflows
Auteurs : Ilkay Altintas ; Adam Birnbaum ; K. Baldridge ; Wibke Sudholt ; Mark Miller ; Celine Amoreira ; Yohann Potier ; Bertram LudaescherSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Grid workflows can be seen as special scientific workflows involving high performance and/or high throughput computational tasks. Much work in grid workflows has focused on improving application performance through schedulers that optimize the use of computational resources and bandwidth. As high-end computing resources are becoming more of a commodity that is available to new scientific communities, there is an increasing need to also improve the design and reusability “performance” of scientific workflow systems. To this end, we are developing a framework that supports the design and reuse of grid workflows. Individual workflow components (e.g., for data movement, database querying, job scheduling, remote execution etc.) are abstracted into a set of generic, reusable tasks. Instantiations of these common tasks can be functionally equivalent atomic components (called actors) or composite components (so-called composite actors or subworkflows). In this way, a grid workflow designer does not have to commit to a particular Grid technology when developing a scientific workflow; instead different technologies (e.g. GridFTP, SRB, and scp) can be used interchangeably and in concert. We illustrate the application of our framework using two real-world Grid workflows from different scientific domains, i.e., cheminformatics and bioinformatics, respectively.
Url:
DOI: 10.1007/11423287_11
Links to Exploration step
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<front><div type="abstract" xml:lang="en">Abstract: Grid workflows can be seen as special scientific workflows involving high performance and/or high throughput computational tasks. Much work in grid workflows has focused on improving application performance through schedulers that optimize the use of computational resources and bandwidth. As high-end computing resources are becoming more of a commodity that is available to new scientific communities, there is an increasing need to also improve the design and reusability “performance” of scientific workflow systems. To this end, we are developing a framework that supports the design and reuse of grid workflows. Individual workflow components (e.g., for data movement, database querying, job scheduling, remote execution etc.) are abstracted into a set of generic, reusable tasks. Instantiations of these common tasks can be functionally equivalent atomic components (called actors) or composite components (so-called composite actors or subworkflows). In this way, a grid workflow designer does not have to commit to a particular Grid technology when developing a scientific workflow; instead different technologies (e.g. GridFTP, SRB, and scp) can be used interchangeably and in concert. We illustrate the application of our framework using two real-world Grid workflows from different scientific domains, i.e., cheminformatics and bioinformatics, respectively.</div>
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<abstract xml:lang="en"><p>Abstract: Grid workflows can be seen as special scientific workflows involving high performance and/or high throughput computational tasks. Much work in grid workflows has focused on improving application performance through schedulers that optimize the use of computational resources and bandwidth. As high-end computing resources are becoming more of a commodity that is available to new scientific communities, there is an increasing need to also improve the design and reusability “performance” of scientific workflow systems. To this end, we are developing a framework that supports the design and reuse of grid workflows. Individual workflow components (e.g., for data movement, database querying, job scheduling, remote execution etc.) are abstracted into a set of generic, reusable tasks. Instantiations of these common tasks can be functionally equivalent atomic components (called actors) or composite components (so-called composite actors or subworkflows). In this way, a grid workflow designer does not have to commit to a particular Grid technology when developing a scientific workflow; instead different technologies (e.g. GridFTP, SRB, and scp) can be used interchangeably and in concert. We illustrate the application of our framework using two real-world Grid workflows from different scientific domains, i.e., cheminformatics and bioinformatics, respectively.</p>
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<Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading>
<Para>Grid workflows can be seen as special scientific workflows involving high performance and/or high throughput computational tasks. Much work in grid workflows has focused on improving application performance through schedulers that optimize the use of computational resources and bandwidth. As high-end computing resources are becoming more of a commodity that is available to new scientific communities, there is an increasing need to also improve the design and reusability “performance” of scientific workflow systems. To this end, we are developing a framework that supports the design and reuse of grid workflows. Individual workflow components (e.g., for data movement, database querying, job scheduling, remote execution etc.) are abstracted into a set of generic, reusable tasks. Instantiations of these common tasks can be functionally equivalent atomic components (called <Emphasis Type="Italic">actors</Emphasis>
) or composite components (so-called <Emphasis Type="Italic">composite actors</Emphasis>
or <Emphasis Type="Italic">subworkflows</Emphasis>
). In this way, a grid workflow designer does not have to commit to a particular Grid technology when developing a scientific workflow; instead different technologies (e.g. GridFTP, SRB, and <Emphasis Type="Italic">scp</Emphasis>
) can be used interchangeably and in concert. We illustrate the application of our framework using two real-world Grid workflows from different scientific domains, i.e., cheminformatics and bioinformatics, respectively.</Para>
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<abstract lang="en">Abstract: Grid workflows can be seen as special scientific workflows involving high performance and/or high throughput computational tasks. Much work in grid workflows has focused on improving application performance through schedulers that optimize the use of computational resources and bandwidth. As high-end computing resources are becoming more of a commodity that is available to new scientific communities, there is an increasing need to also improve the design and reusability “performance” of scientific workflow systems. To this end, we are developing a framework that supports the design and reuse of grid workflows. Individual workflow components (e.g., for data movement, database querying, job scheduling, remote execution etc.) are abstracted into a set of generic, reusable tasks. Instantiations of these common tasks can be functionally equivalent atomic components (called actors) or composite components (so-called composite actors or subworkflows). In this way, a grid workflow designer does not have to commit to a particular Grid technology when developing a scientific workflow; instead different technologies (e.g. GridFTP, SRB, and scp) can be used interchangeably and in concert. We illustrate the application of our framework using two real-world Grid workflows from different scientific domains, i.e., cheminformatics and bioinformatics, respectively.</abstract>
<relatedItem type="host"><titleInfo><title>Scientific Applications of Grid Computing</title>
<subTitle>First International Workshop, SAG 2004, Beijing, China, September 20-24, 2004, Revised Selected and Invited Papers</subTitle>
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<name type="personal"><namePart type="given">Pilar</namePart>
<namePart type="family">Herrero</namePart>
<affiliation>Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain</affiliation>
<affiliation>E-mail: pherrero@fi.upm.es</affiliation>
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<name type="personal"><namePart type="given">María</namePart>
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<affiliation>Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain</affiliation>
<affiliation>E-mail: mperez@fi.upm.es</affiliation>
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<name type="personal"><namePart type="given">Víctor</namePart>
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<affiliation>Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Universidad Politécnica de Madrid, P.O. Box, Madrid, Spain</affiliation>
<affiliation>E-mail: vrobles@fi.upm.es</affiliation>
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<identifier type="DOI">10.1007/b136149</identifier>
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<name type="personal"><namePart type="given">David</namePart>
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<affiliation>Lancaster University, UK</affiliation>
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<name type="personal"><namePart type="given">Friedemann</namePart>
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<affiliation>ETH Zurich, Switzerland</affiliation>
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<affiliation>University of Dortmund, Germany</affiliation>
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<name type="personal"><namePart type="given">Madhu</namePart>
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<name type="personal"><namePart type="given">Moshe</namePart>
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<affiliation>Rice University, Houston, TX, USA</affiliation>
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