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Workflows, a short introduction

Learn the importance of workflows in data processing, their role in modularizing execution processes, enabling parallelization, managing large data sets, and overcoming restrictions. Understand jobs, workflows, complex workflows, and their benefits.

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Workflows, a short introduction

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  1. Workflows, a short introduction Akos Balasko LPDS 17/04/2012

  2. Outline • Whyweuseworkflows? • Jobs • Workflows • Complexworkflows • SomeRestrictions

  3. Why we use workflows? • Make execution process be modularized • Parallelization possibilities • Large data manipulation

  4. Jobs • Singlenodesthatshould be executedto a WN (finally) • Itcontains: • Binary (orreferencetoit) • Inputs (orreferences) • Outputs(orreferences) • Requirements (for hardware, installed software stack …)

  5. Workflows • Nodes connected by abstract data-transfer • A graph structure • Most of them are DAG (directed acyclic)

  6. Complex workflows • Possibilities of parallelism:

  7. In general that’s all! • Thank you!

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