Results 1 to 10 of about 8,058 (73)
FAIR Computational Workflows [PDF]
Data Intelligence, 2020 Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. They can inherently contribute to the FAIR data principles: by processing data according to established metadata; by creating metadata themselves during the
Goble, Carole +7 more
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, 2021 7 pages, no figures. Submitted as an entry to the "Encyclopedia of Mathematical Geosciences."
Prabhu, Anirudh, Fox, Peter
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The Common Workflow Scheduler Interface: Status Quo and Future Plans [PDF]
Proceedings of the SC '23 Workshops of The International
Conference on High Performance Computing, Network, Storage, and Analysis
(SC-W 2023), 2023 Nowadays, many scientific workflows from different domains, such as Remote Sensing, Astronomy, and Bioinformatics, are executed on large computing infrastructures managed by resource managers. Scientific workflow management systems (SWMS) support the workflow execution and communicate with the infrastructures' resource managers.
arxiv +1 more source
Journal of Victorian Culture, 2017 This editorial introduces a series of short papers dedicated to issues of workflow in digital humanities research. Paper contributors include Melodee Beals (Loughborough University), Adam Crymble and Katrina Navikas (University of Hertfordshire), and Seth Cayley (Director of Research Publishing at Gale).
Alker, Zoe +1 more
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Distributed workflows with Jupyter
Future Generation Computer Systems, 2022 Abstract The designers of a new coordination interface enacting complex workflows have to tackle a dichotomy: choosing a language-independent or language-dependent approach. Language-independent approaches decouple workflow models from the host code’s business logic and advocate portability.
Colonnelli, Iacopo +9 more
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WfBench: Automated Generation of Scientific Workflow Benchmarks [PDF]
, 2022 The prevalence of scientific workflows with high computational demands calls for their execution on various distributed computing platforms, including large-scale leadership-class high-performance computing (HPC) clusters. To handle the deployment, monitoring, and optimization of workflow executions, many workflow systems have been developed over the ...
arxiv +1 more source
Adaptive Resource Allocation for Workflow Containerization on Kubernetes [PDF]
Journal of Systems Engineering and Electronics, 2023:34(3),
723-743, 2023 In a cloud-native era, the Kubernetes-based workflow engine enables workflow containerized execution through the inherent abilities of Kubernetes. However, when encountering continuous workflow requests and unexpected resource request spikes, the engine is limited to the current workflow load information for resource allocation, which lacks the agility
arxiv +1 more source
Distributed and Parallel Databases, 2000 Differences in features supported by the various contemporary commercial workflow management systems point to different insights of suitability and different levels of expressive power. The challenge, which we undertake in this paper, is to systematically address workflow requirements, from basic to complex.
Van Der Aalst, Wil +3 more
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Scientific workflows for bibliometrics [PDF]
Scientometrics, 2016 Scientific workflows organize the assembly of specialized software into an overall data flow and are particularly well suited for multi-step analyses using different types of software tools. They are also favorable in terms of reusability, as previously designed workflows could be made publicly available through the myExperiment community and then used
Arzu Tugce Guler +2 more
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Reusability Challenges of Scientific Workflows: A Case Study for Galaxy [PDF]
arXiv, 2023 Scientific workflow has become essential in software engineering because it provides a structured approach to designing, executing, and analyzing scientific experiments. Software developers and researchers have developed hundreds of scientific workflow management systems so scientists in various domains can benefit from them by automating repetitive ...
arxiv