Models and data engineering

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• 作者：Ladjel Bellatreche^a ; ^{bellatreche@ensma.fr} ; Yamine Ait Ameur^b ; ^{yamine@enseeiht.fr} ; George Angelos Papadopoulos^c ; ^{george@cs.ucy.ac.cy}
• 关键词：Modelling ; Ontologies ; Formal methods ; Engagement systems ; Data warehouses ; Clustering ; Model and data stores
• 刊名：Future Generation Computer Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：68
• 期：Complete
• 页码：442-444
• 全文大小：342 K
• 卷排序：68

文摘

Data and models are two well established communities that are continuously contributing in new challenges in different research domains including cyber-physical systems [1], cloud computing [2], service oriented applications, social networks [3], big data (with its five Vs characteristics: Volume, Variety, Velocity, Veracity and Value) [4], etc. The success story of data and models communities is mainly based on the availability of foundations relying on formal methods [5], modelling methods [6], storage systems and platforms [7], advanced optimization structures, benchmarking, scalability, etc. These foundations are usually associated with tools and commercial and academic systems.The selected papers for this special issue address a variety of topics and concerns in models and data fields, including advanced databases, engagement systems, embedded and complex systems, etc.