Análise Integrada de Grafos de Proveniência Heterogêneos por meio de uma Abordagem PolyStore

Mendes, Yan; Ströele, Victor; Oliveira, Daniel de; Ocaña, Kary

doi:10.5753/sbbd.2019.8809

Cited by 1 publication

(1 citation statement)

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“…And finally, we have conducted a range of experiments to evaluate Polyflow with experts. This article is an extension of the conference paper [Mendes et al 2019] published in the Proceedings of the 2019 Brazilian Symposium on Databases (SBBD). This extended version provides new empirical shreds of evidence regarding the proposed approach, an evaluation of the approach with experts and a broader discussion on related work.…”

Section: Introductionmentioning

confidence: 99%

Polyflow: a Polystore-compliant Mechanism to Provide Interoperability to Heterogeneous Provenance Graphs

Mendes

Oliveira

Ströele

2021

jidm

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Many scientific experiments are modeled as workflows. Workflows usually output massive amounts of data. To guarantee the reproducibility of workflows, they are usually orchestrated by Workflow Management Systems (WfMS), that capture provenance data. Provenance represents the lineage of a data fragment throughout its transformations by activities in a workflow. Provenance traces are usually represented as graphs. These graphs allows scientists to analyze and evaluate results produced by a workflow. However, each WfMS has a proprietary format for provenance and do it in different granularity levels. Therefore, in more complex scenarios in which the scientist needs to interpret provenance graphs generated by multiple WfMSs and workflows, a challenge arises. To first understand the research landscape, we conduct a Systematic Literature Mapping, assessing existing solutions under several different lenses. With a clearer understanding of the state of the art, we propose a tool called Polyflow, which is based on the concept of Polystore systems, integrating several databases of heterogeneous origin by adopting a global ProvONE schema. Polyflow allows scientists to query multiple provenance graphs in an integrated way. Polyflow was evaluated by experts using provenance data collected from real experiments that generate phylogenetic trees through workflows. The experiment results suggest that Polyflow is a viable solution for interoperating heterogeneous provenance data generated by different WfMSs, from both a usability and performance standpoint.

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Section: Introductionmentioning

confidence: 99%