Supporting Molecular Modeling Workflows within a Grid Services Cloud
Identifieur interne : 000285 ( Istex/Corpus ); précédent : 000284; suivant : 000286Supporting Molecular Modeling Workflows within a Grid Services Cloud
Auteurs : Martin Koehler ; Matthias Ruckenbauer ; Ivan Janciak ; Siegfried Benkner ; Hans Lischka ; N. GanstererSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Seamless integrated support for scientific workflows accessing HPC applications, deployed on globally distributed computing resources, has become a major challenge in scientific computing. Scientific workflows in the domain of theoretical chemistry are typically long running, deal with huge files, and have a need for dynamic execution control mechanisms. In this paper, we describe a service-oriented approach based on the Vienna Grid Environment (VGE) that tackles these challenges by seamlessly integrating the Ubuntu Cloud infrastructure supporting the scheduling of dynamic and partitioned workflows. The VGE service environment, which enables the provisioning of HPC applications and data sources as Web services, has been enhanced with support for virtualized workflows. The generic scientific workflow infrastructure is utilized in the context of the CPAMMS project, an interdisciplinary research initiative in the area of computational molecular modeling and simulation. A case study implementing a complex scientific workflow for computing photodynamics of biologically relevant molecules, a simulation of the nonadiabatic dynamics of 2,4-pentadieneiminum-cation (Protonated Schiff Base 3, PSB3) solvated in water, is realized via the presented infrastructure.
Url:
DOI: 10.1007/978-3-642-12189-0_2
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Gansterer</name><affiliation><mods:affiliation>Faculty of Computer Science, Research Lab CTA, University of Vienna, Austria</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: wilfried.gansterer@univie.ac.at</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">70BABEB8A977D51570B30B71EA435FA38B036B2E</idno><idno type="DOI">10.1007/978-3-642-12189-0_2</idno><idno type="ChapterID">2</idno><idno type="ChapterID">Chap2</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: Seamless integrated support for scientific workflows accessing HPC applications, deployed on globally distributed computing resources, has become a major challenge in scientific computing. Scientific workflows in the domain of theoretical chemistry are typically long running, deal with huge files, and have a need for dynamic execution control mechanisms. In this paper, we describe a service-oriented approach based on the Vienna Grid Environment (VGE) that tackles these challenges by seamlessly integrating the Ubuntu Cloud infrastructure supporting the scheduling of dynamic and partitioned workflows. The VGE service environment, which enables the provisioning of HPC applications and data sources as Web services, has been enhanced with support for virtualized workflows. The generic scientific workflow infrastructure is utilized in the context of the CPAMMS project, an interdisciplinary research initiative in the area of computational molecular modeling and simulation. A case study implementing a complex scientific workflow for computing photodynamics of biologically relevant molecules, a simulation of the nonadiabatic dynamics of 2,4-pentadieneiminum-cation (Protonated Schiff Base 3, PSB3) solvated in water, is realized via the presented infrastructure.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Martin Koehler</name><affiliations><json:string>Faculty of Computer Science, Department of Scientific Computing, University of Vienna, Austria</json:string><json:string>E-mail: koehler@par.univie.ac.at</json:string></affiliations></json:item><json:item><name>Matthias Ruckenbauer</name><affiliations><json:string>Faculty of Computer Science, Research Lab CTA, University of Vienna, Austria</json:string><json:string>Institute for Theoretical Chemistry, University of Vienna, Austria</json:string><json:string>E-mail: matthias.ruckenbauer@par.univie.ac.at</json:string></affiliations></json:item><json:item><name>Ivan Janciak</name><affiliations><json:string>Faculty of Computer Science, Department of Scientific Computing, University of Vienna, Austria</json:string><json:string>E-mail: janciak@par.univie.ac.at</json:string></affiliations></json:item><json:item><name>Siegfried Benkner</name><affiliations><json:string>Faculty of Computer Science, Department of Scientific Computing, University of Vienna, Austria</json:string><json:string>E-mail: sigi@par.univie.ac.at</json:string></affiliations></json:item><json:item><name>Hans Lischka</name><affiliations><json:string>Institute for Theoretical Chemistry, University of Vienna, Austria</json:string><json:string>E-mail: hans.lischka@univie.ac.at</json:string></affiliations></json:item><json:item><name>Wilfried N. 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The VGE service environment, which enables the provisioning of HPC applications and data sources as Web services, has been enhanced with support for virtualized workflows. The generic scientific workflow infrastructure is utilized in the context of the CPAMMS project, an interdisciplinary research initiative in the area of computational molecular modeling and simulation. A case study implementing a complex scientific workflow for computing photodynamics of biologically relevant molecules, a simulation of the nonadiabatic dynamics of 2,4-pentadieneiminum-cation (Protonated Schiff Base 3, PSB3) solvated in water, is realized via the presented infrastructure.</abstract><qualityIndicators><score>7.064</score><pdfVersion>1.3</pdfVersion><pdfPageSize>430 x 660 pts</pdfPageSize><refBibsNative>false</refBibsNative><keywordCount>0</keywordCount><abstractCharCount>1281</abstractCharCount><pdfWordCount>5927</pdfWordCount><pdfCharCount>36934</pdfCharCount><pdfPageCount>16</pdfPageCount><abstractWordCount>172</abstractWordCount></qualityIndicators><title>Supporting Molecular Modeling Workflows within a Grid Services Cloud</title><chapterId><json:string>2</json:string><json:string>Chap2</json:string></chapterId><genre><json:string>conference</json:string></genre><serie><editor><json:item><name>David Hutchison</name><affiliations><json:string>Lancaster University, Lancaster, UK</json:string></affiliations></json:item><json:item><name>Takeo Kanade</name><affiliations><json:string>Carnegie Mellon University, Pittsburgh, PA, USA</json:string></affiliations></json:item><json:item><name>Josef Kittler</name><affiliations><json:string>University of Surrey, Guildford, UK</json:string></affiliations></json:item><json:item><name>Jon M. 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Apduhan</name><affiliations><json:string>Department of Intelligent Informatics, Kyushu Sangyo University, 813-8503, Fukuoka, Japan</json:string><json:string>E-mail: bob@is.kyusan-u.ac.jp</json:string></affiliations></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Computer Communication Networks</value></json:item><json:item><value>Algorithm Analysis and Problem Complexity</value></json:item><json:item><value>Software Engineering</value></json:item><json:item><value>Simulation and Modeling</value></json:item><json:item><value>Information Systems Applications (incl.Internet)</value></json:item><json:item><value>Data Mining and Knowledge Discovery</value></json:item></subject><isbn><json:string>978-3-642-12188-3</json:string></isbn><language><json:string>unknown</json:string></language><eissn><json:string>1611-3349</json:string></eissn><title>Computational Science and Its 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Italy</affiliation></editor><editor><persName><forename type="first">Eric</forename><surname>Pardede</surname></persName><email>e.pardede@latrobe.edu.au</email><affiliation>Department of Computer Science and Computer Engineeering, LaTrobe University, VIC 3086, Bundoora, Australia</affiliation></editor><editor><persName><forename type="first">Bernady</forename><forename type="first">O.</forename><surname>Apduhan</surname></persName><email>bob@is.kyusan-u.ac.jp</email><affiliation>Department of Intelligent Informatics, Kyushu Sangyo University, 813-8503, Fukuoka, Japan</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2010"></date><biblScope unit="volume">6019</biblScope><biblScope unit="page" from="13">13</biblScope><biblScope unit="page" to="28">28</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, Lancaster, UK</affiliation></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Zurich, Switzerland</affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, Stanford, CA, USA</affiliation></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Bern, Switzerland</affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Dortmund, Germany</affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><biblScope><date>2010</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno></series><idno type="istex">70BABEB8A977D51570B30B71EA435FA38B036B2E</idno><idno type="DOI">10.1007/978-3-642-12189-0_2</idno><idno 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Scientific workflows in the domain of theoretical chemistry are typically long running, deal with huge files, and have a need for dynamic execution control mechanisms. In this paper, we describe a service-oriented approach based on the Vienna Grid Environment (VGE) that tackles these challenges by seamlessly integrating the Ubuntu Cloud infrastructure supporting the scheduling of dynamic and partitioned workflows. The VGE service environment, which enables the provisioning of HPC applications and data sources as Web services, has been enhanced with support for virtualized workflows. The generic scientific workflow infrastructure is utilized in the context of the CPAMMS project, an interdisciplinary research initiative in the area of computational molecular modeling and simulation. A case study implementing a complex scientific workflow for computing photodynamics of biologically relevant molecules, a simulation of the nonadiabatic dynamics of 2,4-pentadieneiminum-cation (Protonated Schiff Base 3, PSB3) solvated in water, is realized via the presented infrastructure.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><label>I13022</label><label>I16021</label><label>I14029</label><label>I21025</label><label>I18040</label><label>I18030</label><item><term>Computer Science</term></item><item><term>Computer Communication Networks</term></item><item><term>Algorithm Analysis and Problem Complexity</term></item><item><term>Software Engineering</term></item><item><term>Simulation and Modeling</term></item><item><term>Information Systems Applications 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Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-12189-0</BookID><BookTitle>Computational Science and Its Applications – ICCSA 2010</BookTitle><BookSubTitle>International Conference, Fukuoka, Japan, March 23-26, 2010, Proceedings, Part 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TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Workshop on Chemistry and Materials Sciences and Technologies (CMST 2010)</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Computational Science and Its Applications – ICCSA 2010</BookTitle></PartContext></PartInfo><Chapter ID="Chap2" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>2</ChapterID><ChapterDOI>10.1007/978-3-642-12189-0_2</ChapterDOI><ChapterSequenceNumber>2</ChapterSequenceNumber><ChapterTitle Language="En">Supporting Molecular Modeling Workflows within a Grid Services Cloud</ChapterTitle><ChapterFirstPage>13</ChapterFirstPage><ChapterLastPage>28</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><BookID>978-3-642-12189-0</BookID><BookTitle>Computational Science and Its Applications – ICCSA 2010</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Martin</GivenName><FamilyName>Koehler</FamilyName></AuthorName><Contact><Email>koehler@par.univie.ac.at</Email></Contact></Author><Author AffiliationIDS="Aff22 Aff23"><AuthorName DisplayOrder="Western"><GivenName>Matthias</GivenName><FamilyName>Ruckenbauer</FamilyName></AuthorName><Contact><Email>matthias.ruckenbauer@par.univie.ac.at</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Ivan</GivenName><FamilyName>Janciak</FamilyName></AuthorName><Contact><Email>janciak@par.univie.ac.at</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Siegfried</GivenName><FamilyName>Benkner</FamilyName></AuthorName><Contact><Email>sigi@par.univie.ac.at</Email></Contact></Author><Author AffiliationIDS="Aff23"><AuthorName DisplayOrder="Western"><GivenName>Hans</GivenName><FamilyName>Lischka</FamilyName></AuthorName><Contact><Email>hans.lischka@univie.ac.at</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Wilfried</GivenName><GivenName>N.</GivenName><FamilyName>Gansterer</FamilyName></AuthorName><Contact><Email>wilfried.gansterer@univie.ac.at</Email></Contact></Author><Affiliation ID="Aff21"><OrgDivision>Faculty of Computer Science, Department of Scientific Computing</OrgDivision><OrgName>University of Vienna</OrgName><OrgAddress><Country>Austria</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgDivision>Faculty of Computer Science, Research Lab CTA</OrgDivision><OrgName>University of Vienna</OrgName><OrgAddress><Country>Austria</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgDivision>Institute for Theoretical Chemistry</OrgDivision><OrgName>University of Vienna</OrgName><OrgAddress><Country>Austria</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Seamless integrated support for scientific workflows accessing HPC applications, deployed on globally distributed computing resources, has become a major challenge in scientific computing. Scientific workflows in the domain of theoretical chemistry are typically long running, deal with huge files, and have a need for dynamic execution control mechanisms. In this paper, we describe a service-oriented approach based on the Vienna Grid Environment (VGE) that tackles these challenges by seamlessly integrating the Ubuntu Cloud infrastructure supporting the scheduling of dynamic and partitioned workflows. The VGE service environment, which enables the provisioning of HPC applications and data sources as Web services, has been enhanced with support for virtualized workflows. The generic scientific workflow infrastructure is utilized in the context of the CPAMMS project, an interdisciplinary research initiative in the area of computational molecular modeling and simulation. A case study implementing a complex scientific workflow for computing photodynamics of biologically relevant molecules, a simulation of the nonadiabatic dynamics of 2,4-pentadieneiminum-cation (Protonated Schiff Base 3, PSB3) solvated in water, is realized via the presented infrastructure.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Supporting Molecular Modeling Workflows within a Grid Services Cloud</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Supporting Molecular Modeling Workflows within a Grid Services Cloud</title></titleInfo><name type="personal"><namePart type="given">Martin</namePart><namePart type="family">Koehler</namePart><affiliation>Faculty of Computer Science, Department of Scientific Computing, University of Vienna, Austria</affiliation><affiliation>E-mail: koehler@par.univie.ac.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Matthias</namePart><namePart type="family">Ruckenbauer</namePart><affiliation>Faculty of Computer Science, Research Lab CTA, University of Vienna, Austria</affiliation><affiliation>Institute for Theoretical Chemistry, University of Vienna, Austria</affiliation><affiliation>E-mail: matthias.ruckenbauer@par.univie.ac.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ivan</namePart><namePart type="family">Janciak</namePart><affiliation>Faculty of Computer Science, Department of Scientific Computing, University of Vienna, Austria</affiliation><affiliation>E-mail: janciak@par.univie.ac.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Siegfried</namePart><namePart type="family">Benkner</namePart><affiliation>Faculty of Computer Science, Department of Scientific Computing, University of Vienna, Austria</affiliation><affiliation>E-mail: sigi@par.univie.ac.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hans</namePart><namePart type="family">Lischka</namePart><affiliation>Institute for Theoretical Chemistry, University of Vienna, Austria</affiliation><affiliation>E-mail: hans.lischka@univie.ac.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Wilfried</namePart><namePart type="given">N.</namePart><namePart type="family">Gansterer</namePart><affiliation>Faculty of Computer Science, Research Lab CTA, University of Vienna, Austria</affiliation><affiliation>E-mail: wilfried.gansterer@univie.ac.at</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Seamless integrated support for scientific workflows accessing HPC applications, deployed on globally distributed computing resources, has become a major challenge in scientific computing. Scientific workflows in the domain of theoretical chemistry are typically long running, deal with huge files, and have a need for dynamic execution control mechanisms. In this paper, we describe a service-oriented approach based on the Vienna Grid Environment (VGE) that tackles these challenges by seamlessly integrating the Ubuntu Cloud infrastructure supporting the scheduling of dynamic and partitioned workflows. The VGE service environment, which enables the provisioning of HPC applications and data sources as Web services, has been enhanced with support for virtualized workflows. The generic scientific workflow infrastructure is utilized in the context of the CPAMMS project, an interdisciplinary research initiative in the area of computational molecular modeling and simulation. A case study implementing a complex scientific workflow for computing photodynamics of biologically relevant molecules, a simulation of the nonadiabatic dynamics of 2,4-pentadieneiminum-cation (Protonated Schiff Base 3, PSB3) solvated in water, is realized via the presented infrastructure.</abstract><relatedItem type="host"><titleInfo><title>Computational Science and Its Applications – ICCSA 2010</title><subTitle>International Conference, Fukuoka, Japan, March 23-26, 2010, Proceedings, Part IV</subTitle></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Taniar</namePart><affiliation>Clayton School of Information Technology, Monash University, VIC 3800, Clayton, Australia</affiliation><affiliation>E-mail: david.taniar@infotech.monash.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Osvaldo</namePart><namePart type="family">Gervasi</namePart><affiliation>Department of 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type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2010</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</recordOrigin></recordInfo></relatedItem><identifier type="istex">70BABEB8A977D51570B30B71EA435FA38B036B2E</identifier><identifier type="DOI">10.1007/978-3-642-12189-0_2</identifier><identifier type="ChapterID">2</identifier><identifier type="ChapterID">Chap2</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2010</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 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