کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4951762 | 1441599 | 2017 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
NeoEMF: A multi-database model persistence framework for very large models
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
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چکیده انگلیسی
The growing role of Model Driven Engineering (MDE) techniques in industry has emphasized scalability of existing model persistence solutions as a major issue. Specifically, there is a need to store, query, and transform very large models in an efficient way. Several persistence solutions based on relational and NoSQL databases have been proposed to achieve scalability. However, they often rely on a single data store, which suits a specific modeling activity, but may not be optimized for other use cases. This paper presents NeoEMF, a tool that tackles this issue by providing a multi-database model persistence framework. Tool website: http://www.neoemf.com
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Science of Computer Programming - Volume 149, 1 December 2017, Pages 9-14
Journal: Science of Computer Programming - Volume 149, 1 December 2017, Pages 9-14
نویسندگان
Gwendal Daniel, Gerson Sunyé, Amine Benelallam, Massimo Tisi, Yoann Vernageau, Abel Gómez, Jordi Cabot,