Accelerating the Operation of Complex Workflows through Standard Data Interfaces

Fuente: arXiv
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Main Authors: Paul, Taylor, Regli, William
Format: Preprint
Published: 2024
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author Paul, Taylor
Regli, William
author_facet Paul, Taylor
Regli, William
contents In this position paper we argue for standardizing how we share and process data in scientific workflows at the network-level to maximize step re-use and workflow portability across platforms and networks in pursuit of a foundational workflow stack. We look to evolve workflows from steps connected point-to-point in a directed acyclic graph (DAG) to steps connected via shared channels in a message system implemented as a network service. To start this evolution, we contribute: a preliminary reference model, architecture, and open tools to implement the architecture today. Our goal stands to improve the deployment and operation of complex workflows by decoupling data sharing and data processing in workflow steps. We seek the workflow community's input on this approach's merit, related research to explore and initial requirements from the workflows community to inform future research.
format Preprint
id arxiv_https___arxiv_org_abs_2412_13339
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Accelerating the Operation of Complex Workflows through Standard Data Interfaces
Paul, Taylor
Regli, William
Distributed, Parallel, and Cluster Computing
Networking and Internet Architecture
In this position paper we argue for standardizing how we share and process data in scientific workflows at the network-level to maximize step re-use and workflow portability across platforms and networks in pursuit of a foundational workflow stack. We look to evolve workflows from steps connected point-to-point in a directed acyclic graph (DAG) to steps connected via shared channels in a message system implemented as a network service. To start this evolution, we contribute: a preliminary reference model, architecture, and open tools to implement the architecture today. Our goal stands to improve the deployment and operation of complex workflows by decoupling data sharing and data processing in workflow steps. We seek the workflow community's input on this approach's merit, related research to explore and initial requirements from the workflows community to inform future research.
title Accelerating the Operation of Complex Workflows through Standard Data Interfaces
topic Distributed, Parallel, and Cluster Computing
Networking and Internet Architecture
url https://arxiv.org/abs/2412.13339