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Approaches to Distributed Execution of Scientific Workflows in Kepler

Marcin Płóciennik · Tomasz Żok · İlkay Altıntaş · Jianwu Wang · Daniel L. Crawl · David Abramson +9 more

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Scientific Computing and Data Management Distributed and Parallel Computing Systems Business Process Modeling and Analysis

Abstract

The Kepler scientific workflow system enables creation, execution and sharing of workflows across a broad range of scientific and engineering disciplines while also facilitating remote and distributed execution of workflows. In this paper, we present

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2006Taverna: a tool for building and running workflows of services 2004Kepler: An Extensible System for Design and Execution of Scientific Workflows 2004Kepler: an extensible system for design and execution of scientific workflows 2009Kepler + Hadoop 2008A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows 2012Challenges and approaches for distributed workflow-driven analysis of large-scale biological data 2012A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System 2011Improving Workflow Fault Tolerance through Provenance-Based Recovery

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2017Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project

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