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Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments
المؤلفون المشاركون
Álvarez-Rodríguez, Jose María
Mejia-Miranda, Jezreel
Alor-Hernández, Giner
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-30
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214762
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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