Models and data engineering

Data and models are two well established communities that are continuously contributing in new challenges in different research domains including cyberphysical systems (Yoo and Shon, 2016 [1]), cloud computing (Jararweh etal., 2016 [2]), service oriented applications, social networks (Yahyaoui etal., 2013 [3]), big data (with its five Vs characteristics: Volume, Variety, Velocity, Veracity and Value) (Hsu, 2014), etc. The success story of data and models communities is mainly based on the availability of foundations relying on formal methods (Hassan etal., 2016), modelling methods (Ameur etal., 2014), storage systems and platforms (Liu etal., 2015 [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.

[1]  Wenjie Tang,et al.  A high performance framework for modeling and simulation of large-scale complex systems , 2015, Future Gener. Comput. Syst..

[2]  Brahim Hamid,et al.  A model-driven approach for developing a model repository: Methodology and tool support , 2017, Future Gener. Comput. Syst..

[3]  Dominique Méry.  Playing with state-based models for designing better algorithms , 2017, Future Gener. Comput. Syst..

[4]  Zakaria Maamar,et al.  Towards a community-based, social network-driven framework for Web services management , 2013, Future Gener. Comput. Syst..

[5]  Lutz M. Wegner,et al.  Advantages of complex SQL types in storing XML documents , 2017, Future Gener. Comput. Syst..

[6]  Ching-Hsien Hsu,et al.  Intelligent big data processing , 2014, Future Gener. Comput. Syst..

[7]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[8]  Haibo Zhang,et al.  Special Issue on: Multicore and Many-core Architectures for Future Generation Embedded Systems , 2016, Future Gener. Comput. Syst..

[9]  Il-Yeol Song,et al.  Modeling and Management of Big Data: Challenges and opportunities , 2016, Future Gener. Comput. Syst..

[10]  Dan Feng,et al.  Using provenance to efficiently improve metadata searching performance in storage systems , 2015, Future Gener. Comput. Syst..

[11]  Alain Bouju,et al.  Trajectory ontology inference considering domain and temporal dimensions - Application to marine mammals , 2017, Future Gener. Comput. Syst..

[12]  Taeshik Shon,et al.  Challenges and research directions for heterogeneous cyber-physical system based on IEC 61850: Vulnerabilities, security requirements, and security architecture , 2016, Future Gener. Comput. Syst..

[13]  Mukesh K. Mohania,et al.  Modeling user behavior data in systems of engagement , 2017, Future Gener. Comput. Syst..

[14]  Eleni Constantinou,et al.  Landmark selection for spectral clustering based on Weighted PageRank , 2017, Future Gener. Comput. Syst..

[15]  Mahmoud Al-Ayyoub,et al.  Software defined cloud: Survey, system and evaluation , 2016, Future Gener. Comput. Syst..