Abstract
This paper introduces provGen, a generator aimed at producing large synthetic provenance graphs with predictable properties and of arbitrary size. Synthetic provenance graphs serve two main purposes. Firstly, they provide a variety of controlled workloads that can be used to test storage and query capabilities of provenance management systems at scale. Secondly, they provide challenging testbeds for experimenting with graph algorithms for provenance analytics, an area of increasing research interest. provGen produces PROV graphs and stores them in a graph DBMS (Neo4J). A key feature is to let users control the relationship makeup and topological features of the graph, by providing a seed provenance pattern along with a set of constraints, expressed using a custom Domain Specific Language. We also propose a simple method for evaluating the quality of the generated graphs, by measuring how realistically they simulate the structure of real-world patterns.
Original language | English |
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Title of host publication | Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers |
Editors | Beth Plale, Bertram Ludäscher, Bertram Ludäscher |
Publisher | Springer Verlag |
Pages | 16-27 |
Number of pages | 12 |
ISBN (Electronic) | 9783319164618 |
DOIs | |
Publication status | Published - 2015 |
Event | 5th International Provenance and Annotation Workshop, IPAW 2014 - Cologne, Germany Duration: 10 Jun 2014 → 11 Jun 2014 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 8628 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 5th International Provenance and Annotation Workshop, IPAW 2014 |
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Country/Territory | Germany |
City | Cologne |
Period | 10/06/14 → 11/06/14 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science