Scientific Workflows and XMDD
- A major part of the scientific experiments that are carried out today requires thorough computational support. While database and algorithm providers face the problem of bundling resources to create and sustain powerful computation nodes, the users have to deal with combining sets of (remote) services into specific data analysis and transformation processes. Today’s attention to “big data” amplifies the issues of size, heterogeneity, and process-level diversity/integration. In the last decade, especially workflow-based approaches to deal with these processes have enjoyed great popularity. This book concerns a particularly agile and model-driven approach to manage scientific workflows that is based on the XMDD paradigm. In this chapter we explain the scope and purpose of the book, briefly describe the concepts and technologies of the XMDD paradigm, explain the principal differences to related approaches, and outline the structure of the book.
Author details: | Anna-Lena LamprechtORCiDGND, Tiziana Margaria |
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ISBN: | 978-3-662-45005-5 |
ISSN: | 1865-0929 |
Title of parent work (English): | Process Design for Natural Scientists: an agile model-driven approach |
Publisher: | Springer Verlag |
Place of publishing: | Berlin |
Editor(s): | Anna-Lena Lambrecht, Tiziana Margaria |
Publication type: | Article |
Language: | English |
Year of first publication: | 2014 |
Publication year: | 2014 |
Publishing institution: | Universität Potsdam |
Release date: | 2016/06/29 |
Issue: | 500 |
First page: | 1 |
Last Page: | 13 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science |
DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |