Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments
Joint Authors
Álvarez-Rodríguez, Jose María
Mejia-Miranda, Jezreel
Alor-Hernández, Giner
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-30
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
The present paper introduces and reviews existing technology and research works in the field of scientific programming methods and techniques in data-intensive engineering environments.
More specifically, this survey aims to collect those relevant approaches that have faced the challenge of delivering more advanced and intelligent methods taking advantage of the existing large datasets.
Although existing tools and techniques have demonstrated their ability to manage complex engineering processes for the development and operation of safety-critical systems, there is an emerging need to know how existing computational science methods will behave to manage large amounts of data.
That is why, authors review both existing open issues in the context of engineering with special focus on scientific programming techniques and hybrid approaches.
1193 journal papers have been found as the representative in these areas screening 935 to finally make a full review of 122.
Afterwards, a comprehensive mapping between techniques and engineering and nonengineering domains has been conducted to classify and perform a meta-analysis of the current state of the art.
As the main result of this work, a set of 10 challenges for future data-intensive engineering environments have been outlined.
American Psychological Association (APA)
Álvarez-Rodríguez, Jose María& Alor-Hernández, Giner& Mejia-Miranda, Jezreel. 2018. Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments. Scientific Programming،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1214762
Modern Language Association (MLA)
Álvarez-Rodríguez, Jose María…[et al.]. Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments. Scientific Programming No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1214762
American Medical Association (AMA)
Álvarez-Rodríguez, Jose María& Alor-Hernández, Giner& Mejia-Miranda, Jezreel. Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1214762
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214762