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DEBU
2010

Panda: A System for Provenance and Data

8 years 8 months ago
Panda: A System for Provenance and Data
Panda (for Provenance and Data) is a new project whose goal is to develop a general-purpose system that unifies concepts from existing provenance systems and overcomes some limitations in them. Panda is designed for "data-oriented workflows," fully integrating data-based and process-based provenance. Panda's provenance model will support a full range from fine-grained to coarse-grained provenance. Panda will provide a set of built-in operators for exploiting provenance after it has been captured, and an ad-hoc query language over provenance together with data. The processing nodes in Panda's workflows can vary from well-understood relational transformations, to "semi-opaque" transformations with a few known properties, to fully-opaque "black boxes." A theme in Panda is to take advantage of transformation knowledge when present, but to degrade gracefully when less information is available. Panda yields interesting optimization problems, including...
Robert Ikeda, Jennifer Widom
Added 01 Mar 2011
Updated 01 Mar 2011
Type Journal
Year 2010
Where DEBU
Authors Robert Ikeda, Jennifer Widom
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