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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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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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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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Data-Intensive Workflow Management978-3-031-01872-5Series ISSN 2153-5418 Series E-ISSN 2153-5426
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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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