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  1. Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science (WORKS '14)
  2. Workflows in a dashboard: a new generation of usability
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Execution time estimation for workflow scheduling
Sensitivity analysis for time dependent problems: optimal checkpoint-recompute HPC workflows
Combining workflow templates with a shared space-based execution model
Workflows in a dashboard: a new generation of usability
A performance model to estimate execution time of scientific workflows on the cloud
Workflow management for real-time analysis of lightsource experiments
Increasing scientific workflow programming productivity with HyperFlow
Towards workflow ecosystems through semantic and standard representations
A cleanup algorithm for implementing storage constraints in scientific workflow executions
User-oriented partial result evaluation in workflow-based science gateways

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1 scientific workflows: a new paradigm for next-generation e-science applications.

Workflows in a dashboard: a new generation of usability

Content Provider ACM Digital Library
Author Filgueira, Rosa Liew, Chee Sun Atkinson, Malcolm Terstyanszky, Gabor Gesing, Sandra Jones, Andrew Kacsuk, Peter Stankovski, Vlado Spinuso, Alessandro Taylor, Ian
Abstract In the last 20 years quite a few mature workflow engines and workflow editors have been developed to support communities in managing workflows. While there is a trend followed by the providers of workflow engines to ease the creation of workflows tailored to their specific workflow system, the management tools still often necessitate much understanding of the workflow concepts and languages. This paper describes the approach targeting various workflow systems and building a single user interface for editing and monitoring workflows under consideration of aspects such as optimization and provenance of data. The design allots agile Web frameworks and novel technologies to build a workflow dashboard offered in a web browser and connecting seamlessly to available workflow systems and external resources like Cloud infrastructures. The user interface eliminates the need to become acquainted with diverse layouts. Thus, the usability is immensely increased for various aspects of managing workflows.
Starting Page 82
Ending Page 93
Page Count 12
File Format PDF
ISBN 9781479970674
DOI 10.1109/WORKS.2014.6
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-16
Access Restriction Subscribed
Content Type Text
Resource Type Article
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