Chimera: a virtual data system for representing, querying, and automating data derivation

By Ian T Foster, Jens-S. Vöckler, M. Wilde, Yong Zhao. Proceedings 14th International Conference on Scientific and Statistical Database Management, 2002

737 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/1b0659d771135856f06bb84c0cca2ec488b3a070

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Citations in the corpus

Workflows and e-Science: An overview of workflow system features and capabilities (2009, methodology): “Triana uses a DCG format of its own although it is able to import and export from different formats including DAGMan and the Virtual Data Language (42).”
Trio: A System for Integrated Management of Data, Accuracy, and Lineage (2004, methodology): “In general, the lineage of data describes how the data came into existence and how it has evolved over time [FB01, FVWZ02 , WS97].”
Provenance management in curated databases (2006, background): “As mentioned in the introduction, “workﬂow” or “coarse-grained” provenance has been studied extensively in the context of scien-tiﬁc computation [10, 14, 26]; Bose and Frew [3] and Simmhan et al. [21] survey most existing research on such systems.”
Pegasus: A framework for mapping complex scientific workflows onto distributed systems (2005, methodology): “The second method uses Chimera [7] to build the abstract workflow based on the user-provided partial, logical workflow descriptions specified in Chimera's Virtual Data Language (VDL) [7].”
Falkon: a Fast and Light-weight tasK executiON framework (2007, methodology): “Systems such as DAGMan [1], Karajan [2], Swift [3], and VDS [4] support this model.”
SPADE: Support for Provenance Auditing in Distributed Environments (2012, positive): “Chimera [11] allows a user to define a workflow, consisting of data sets and transformation scripts.”
Managing Rapidly-Evolving Scientific Workflows (2006, methodology): “Workflow systems have been traditionally used to automate repetitive tasks and to ensure reproducibility of results [1,6,9,10].”
Pegasus: Mapping Scientific Workflows onto the Grid (2004, methodology): “In the case of Montage, the application scientists produce their own abstract workflows without using Chimera, because they need to tailor the workflow to individual requests.”
Provenance Collection Support in the Kepler Scientific Workflow System (2006, methodology): “The Chimera [7] Virtual Data System uses a process model for tracking provenance in the form of data derivations.”
Cloud Computing and Grid Computing 360-Degree Compared (2008, background): “In Grids, provenance management has been in general built into a workflow system, from early pioneers such as Chimera [22], to modern scientific workflow systems, such as Swift [53], Kepler [35], and VIEW [34] to support the discovery and reproducibility of scientific results.”
ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows (2016, background): “Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation.”
Provenance and scientific workflows: challenges and opportunities (2008, background): “Workflow systems have therefore grown in popularity within the scientific community [25, 41, 31, 42, 43, 45, 16, 17, 27, 38].”
DataHub: Collaborative Data Science & Dataset Version Management at Scale (2014, background): “ running Ubuntu Lucid. Mostdatasciencesystems,includinganalyticpackageslikeSAS, Excel, R, Matlab, Mahout, Scikit ( scikit-learn.org ), and Pandas (pandas.pydata.org );workowtoolslikePegasus[4],Chimera[6], and VisTrails [1]; and collaboration tools like Fusion tables [12], Orchestra [8], and CQMS [10”