Model-Based Failure Management for Distributed Reactive Systems
Identifieur interne : 000654 ( Istex/Corpus ); précédent : 000653; suivant : 000655Model-Based Failure Management for Distributed Reactive Systems
Auteurs : Vina Ermagan ; Ingolf Krüger ; Massimiliano MenariniSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: Failure management is key to the development of safety-critical, distributed, reactive systems common in such applications as avionics, automotive, and sensor/actuator networks. Specific challenges to effective failure management include (i) developing an understanding of the application domain so as to define what constitutes a failure; (ii) disentangling failure management concepts at design and runtime; and (iii) detecting and mitigating failures at the level of systems-of-systems integration. In this paper, we address (i) and (ii) by developing a failure ontology for logical and deployment architectures, respectively, including a mapping between the two. This ontology is based on the interaction patterns (or services) defining the component interplay in a distributed system. We address (iii) by defining detectors and mitigators at the service/interaction level – we discuss how to derive detectors for a significant subset of the failure ontology directly from the interaction patterns. We demonstrate the utility of our techniques using a large scale oceanographic sensor/actuator network.
Url:
DOI: 10.1007/978-3-540-77419-8_4
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ISTEX:83D81434A2D5ED9CDD4859C85361833B272D5861Le document en format XML
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Specific challenges to effective failure management include (i) developing an understanding of the application domain so as to define what constitutes a failure; (ii) disentangling failure management concepts at design and runtime; and (iii) detecting and mitigating failures at the level of systems-of-systems integration. In this paper, we address (i) and (ii) by developing a failure ontology for logical and deployment architectures, respectively, including a mapping between the two. This ontology is based on the interaction patterns (or services) defining the component interplay in a distributed system. We address (iii) by defining detectors and mitigators at the service/interaction level – we discuss how to derive detectors for a significant subset of the failure ontology directly from the interaction patterns. We demonstrate the utility of our techniques using a large scale oceanographic sensor/actuator network.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Vina Ermagan</name><affiliations><json:string>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404, USA</json:string><json:string>E-mail: vermagan@ucsd.edu</json:string></affiliations></json:item><json:item><name>Ingolf Krüger</name><affiliations><json:string>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404, USA</json:string><json:string>E-mail: ikrueger@ucsd.edu</json:string></affiliations></json:item><json:item><name>Massimiliano Menarini</name><affiliations><json:string>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404, USA</json:string><json:string>E-mail: mmenarini@ucsd.edu</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Failure management is key to the development of safety-critical, distributed, reactive systems common in such applications as avionics, automotive, and sensor/actuator networks. 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Specific challenges to effective failure management include (i) developing an understanding of the application domain so as to define what constitutes a failure; (ii) disentangling failure management concepts at design and runtime; and (iii) detecting and mitigating failures at the level of systems-of-systems integration. In this paper, we address (i) and (ii) by developing a failure ontology for logical and deployment architectures, respectively, including a mapping between the two. This ontology is based on the interaction patterns (or services) defining the component interplay in a distributed system. We address (iii) by defining detectors and mitigators at the service/interaction level – we discuss how to derive detectors for a significant subset of the failure ontology directly from the interaction patterns. 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Scientific and Industrial Issues</BookTitle><BookSubTitle>13th Monterey Workshop 2006 Paris, France, October 16-18, 2006 Revised Selected Papers</BookSubTitle><BookVolumeNumber>4888</BookVolumeNumber><BookSequenceNumber>4888</BookSequenceNumber><BookDOI>10.1007/978-3-540-77419-8</BookDOI><BookTitleID>159000</BookTitleID><BookPrintISBN>978-3-540-77418-1</BookPrintISBN><BookElectronicISBN>978-3-540-77419-8</BookElectronicISBN><BookChapterCount>12</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I14029" Priority="1" Type="Secondary">Software Engineering</BookSubject><BookSubject Code="I14010" Priority="2" Type="Secondary">Programming Techniques</BookSubject><BookSubject Code="I14037" Priority="3" Type="Secondary">Programming Languages, Compilers, Interpreters</BookSubject><BookSubject Code="I1603X" Priority="4" Type="Secondary">Logics and Meanings of Programs</BookSubject><BookSubject Code="I13022" Priority="5" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I13049" Priority="6" Type="Secondary">System Performance and Evaluation</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>Fabrice</GivenName><FamilyName>Kordon</FamilyName></EditorName><Contact><Email>Fabrice.Kordon@lip6.fr</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Oleg</GivenName><FamilyName>Sokolsky</FamilyName></EditorName><Contact><Email>sokolsky@cis.upenn.edu</Email></Contact></Editor></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Model Driven Development and Embedded Systems</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Composition of Embedded Systems</BookTitle></PartContext></PartInfo><Chapter ID="Chap4" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>4</ChapterID><ChapterDOI>10.1007/978-3-540-77419-8_4</ChapterDOI><ChapterSequenceNumber>4</ChapterSequenceNumber><ChapterTitle Language="En">Model-Based Failure Management for Distributed Reactive Systems</ChapterTitle><ChapterFirstPage>53</ChapterFirstPage><ChapterLastPage>74</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</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>978-3-540-77419-8</BookID><BookTitle>Composition of Embedded Systems</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Vina</GivenName><FamilyName>Ermagan</FamilyName></AuthorName><Contact><Email>vermagan@ucsd.edu</Email><URL>http://sosa.ucsd.edu</URL></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Ingolf</GivenName><FamilyName>Krüger</FamilyName></AuthorName><Contact><Email>ikrueger@ucsd.edu</Email><URL>http://sosa.ucsd.edu</URL></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Massimiliano</GivenName><FamilyName>Menarini</FamilyName></AuthorName><Contact><Email>mmenarini@ucsd.edu</Email><URL>http://sosa.ucsd.edu</URL></Contact></Author><Affiliation ID="Aff1"><OrgName>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404</OrgName><OrgAddress><Country>USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Failure management is key to the development of safety-critical, distributed, reactive systems common in such applications as avionics, automotive, and sensor/actuator networks. Specific challenges to effective failure management include (i) developing an understanding of the application domain so as to define what constitutes a failure; (ii) disentangling failure management concepts at design and runtime; and (iii) detecting and mitigating failures at the level of systems-of-systems integration. In this paper, we address (i) and (ii) by developing a failure ontology for logical and deployment architectures, respectively, including a mapping between the two. This ontology is based on the interaction patterns (or services) defining the component interplay in a distributed system. We address (iii) by defining detectors and mitigators at the service/interaction level – we discuss how to derive detectors for a significant subset of the failure ontology directly from the interaction patterns. We demonstrate the utility of our techniques using a large scale oceanographic sensor/actuator network.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Failure Management</Keyword><Keyword>Distributed Systems</Keyword><Keyword>Ontology</Keyword><Keyword>Reactive Systems</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Model-Based Failure Management for Distributed Reactive Systems</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Model-Based Failure Management for Distributed Reactive Systems</title></titleInfo><name type="personal"><namePart type="given">Vina</namePart><namePart type="family">Ermagan</namePart><affiliation>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404, USA</affiliation><affiliation>E-mail: vermagan@ucsd.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ingolf</namePart><namePart type="family">Krüger</namePart><affiliation>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404, USA</affiliation><affiliation>E-mail: ikrueger@ucsd.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Massimiliano</namePart><namePart type="family">Menarini</namePart><affiliation>University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA 92093-0404, USA</affiliation><affiliation>E-mail: mmenarini@ucsd.edu</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">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</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: Failure management is key to the development of safety-critical, distributed, reactive systems common in such applications as avionics, automotive, and sensor/actuator networks. Specific challenges to effective failure management include (i) developing an understanding of the application domain so as to define what constitutes a failure; (ii) disentangling failure management concepts at design and runtime; and (iii) detecting and mitigating failures at the level of systems-of-systems integration. In this paper, we address (i) and (ii) by developing a failure ontology for logical and deployment architectures, respectively, including a mapping between the two. This ontology is based on the interaction patterns (or services) defining the component interplay in a distributed system. We address (iii) by defining detectors and mitigators at the service/interaction level – we discuss how to derive detectors for a significant subset of the failure ontology directly from the interaction patterns. We demonstrate the utility of our techniques using a large scale oceanographic sensor/actuator network.</abstract><relatedItem type="host"><titleInfo><title>Composition of Embedded Systems. 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