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Titlebook: Data-Intensive Workflow Management; Daniel C. M. Oliveira,Ji Liu,Esther Pacitti Book 2019 Springer Nature Switzerland AG 2019

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樓主: fumble
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發(fā)表于 2025-3-23 10:37:29 | 只看該作者
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發(fā)表于 2025-3-23 17:51:39 | 只看該作者
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發(fā)表于 2025-3-23 19:32:30 | 只看該作者
Workflow Execution in DISC Environments,As previously discussed, workflows rely on large-scale processing to corroborate scientific hypotheses, which requires the execution of data-intensive operations such as data loading, transformations, and aggregations [Liu et al., 2016a].
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發(fā)表于 2025-3-23 23:13:36 | 只看該作者
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發(fā)表于 2025-3-24 03:53:05 | 只看該作者
Conclusion,g, data analysis, and aggregating output data. This book presents a broad and deep view of data-intensive workflow management solutions deployed in different distributed environments. Each environment introduces specific data management challenges.
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發(fā)表于 2025-3-24 06:32:37 | 只看該作者
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發(fā)表于 2025-3-24 11:23:51 | 只看該作者
Data-Intensive Workflow Management978-3-031-01872-5Series ISSN 2153-5418 Series E-ISSN 2153-5426
18#
發(fā)表于 2025-3-24 16:09:32 | 只看該作者
Concise Dictionary of Engineeringan appealing solution for workflow execution. In Chapter 3, we discussed workflow executions in a single-site cloud. However, most clouds are multi-site by nature, i.e., they are composed of several sites (or data centers), each with its resources and data.
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發(fā)表于 2025-3-24 19:42:53 | 只看該作者
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發(fā)表于 2025-3-25 00:32:22 | 只看該作者
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