Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/38954
DC FieldValue
dc.titleVerification of computation Orchestration via timed automata
dc.contributor.authorDong, J.S.
dc.contributor.authorLiu, Y.
dc.contributor.authorSun, J.
dc.contributor.authorZhang, X.
dc.date.accessioned2013-07-04T07:30:39Z
dc.date.available2013-07-04T07:30:39Z
dc.date.issued2006
dc.identifier.citationDong, J.S.,Liu, Y.,Sun, J.,Zhang, X. (2006). Verification of computation Orchestration via timed automata. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4260 LNCS : 226-245. ScholarBank@NUS Repository.
dc.identifier.isbn3540474609
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/38954
dc.description.abstractRecently, a promising programming model called Orc has been proposed to support a structured way of orchestrating distributed web services. Orc is intuitive because it offers concise constructors to manage concurrent communication, time-outs, priorities, failure of sites or communication and so forth. The semantics of Orc is also precisely defined. However, there is no verification tool available to verify critical properties against Orc models. Instead of building one from scratch, we believe the existing mature model-checkers can be reused. In this work, we first define a Timed Automata semantics for the Orc language, which we prove is semantically equivalent to the original operational semantics of Orc. Consequently, Timed Automata models are systematically constructed from Orc models. The practical implication of the construction is that tool supports for Timed Automata, e.g., UPPAAL, can be used to model check Orc models. An experimental tool is implemented to automate our approach. © Springer-Verlag Berlin Heidelberg 2006.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4260 LNCS
dc.description.page226-245
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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