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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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書目名稱Data-Intensive Workflow Management
編輯Daniel C. M. Oliveira,Ji Liu,Esther Pacitti
視頻videohttp://file.papertrans.cn/264/263326/263326.mp4
叢書名稱Synthesis Lectures on Data Management
圖書封面Titlebook: Data-Intensive Workflow Management;  Daniel C. M. Oliveira,Ji Liu,Esther Pacitti Book 2019 Springer Nature Switzerland AG 2019
描述.Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environment to run scientific workflows. By using clouds, scientists have expanded beyond single parallel computers to hundreds or even thousands of virtual machines...More recently, Data-Intensive Scalable Computing (DISC) frameworks (e.g., Apache Spark and Hadoop) and environments emerged and are being used to execute data-intensive workflows. DISC environments are composed of processors and disks in large-commodity computing clusters connected using high-speed communications switches and networks. The
出版日期Book 2019
版次1
doihttps://doi.org/10.1007/978-3-031-01872-5
isbn_softcover978-3-031-00744-6
isbn_ebook978-3-031-01872-5Series ISSN 2153-5418 Series E-ISSN 2153-5426
issn_series 2153-5418
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Workflow Execution in a Multi-Site Cloud,an 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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Concise Dictionary of Engineeringthe . and . Latin expressions as highlighted by Travassos and de Oliveira Barros [2003]. This term is used to characterize a class of scientific experiments [Deelman et al., 2009, Hey et al., 2009, 2012, Mattoso et al., 2010]: experiments that are based on complex computer simulations that perform a
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https://doi.org/10.1007/978-3-319-07839-7ecuting a workflow in the cloud is not a simple task. According to the cloud and DISC workflow life-cycle presented in Figure 1.3, first the SWfMS has to deploy the necessary resources, i.e., virtual machines provisioning is critical for workflow execution. Therefore, since workflow execution takes
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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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