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Implementing graph transformations in the bulk synchronous parallel model

dc.contributor.authorKrause, Christian
dc.contributor.authorTichy, Matthias
dc.contributor.authorGiese, Holger
dc.contributor.editorAßmann, Uwe
dc.contributor.editorDemuth, Birgit
dc.contributor.editorSpitta, Thorsten
dc.contributor.editorPüschel, Georg
dc.contributor.editorKaiser, Ronny
dc.date.accessioned2017-06-30T20:56:09Z
dc.date.available2017-06-30T20:56:09Z
dc.date.issued2015
dc.description.abstractBig data becomes a challenge in more and more domains. In many areas, such as in social networks, the entities of interest have relational references to each other and thereby form large-scale graphs (in the order of billions of vertices). At the same time, querying and updating these data structures is a key requirement. Complex queries and updates demand expressive high-level languages which can still be efficiently executed on these large-scale graphs.We use graph transformation rules and units as a high-level modeling language with declarative and operational features for transforming graph structures. To apply them to large-scale graphs, we introduce a method to distribute and parallelize graph transformations by mapping them to the Bulk Synchronous Parallel model. Our tool support builds on Henshin as modeling tool and consists of a code generator for Apache Giraph. We evaluated our approach with the IMDb movie database on a cluster with 24 servers with 8 cores each.en
dc.identifier.isbn978-3-88579-633-6
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware-engineering and management 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-239
dc.titleImplementing graph transformations in the bulk synchronous parallel modelen
dc.typeText/Conference Paper
gi.citation.endPage100
gi.citation.publisherPlaceBonn
gi.citation.startPage99
gi.conference.date17.-20. März 2015
gi.conference.locationDresden

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