An Open Framework for Dynamic Big-data-driven Application Systems (DBDDAS) Development | Zendy

Craig C. Douglas | Zendy

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An Open Framework for Dynamic Big-data-driven Application Systems (DBDDAS) Development

Author(s) -

Craig C. Douglas

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.05.112

Subject(s) - computer science , dynamic data , big data , key (lock) , computation , data assimilation , distributed computing , data science , data mining , database , operating system , physics , algorithm , meteorology

In this paper, we outline key features that dynamic data-driven application systems (DDDAS) have. A DDDAS is an application that has data assimilation that can change the models and/or scales of the computation and that the application controls the data collection based on the computational results. The term Big Data (BD) has come into being in recent years that is highly applicable to most DDDAS since most applications use networks of sensors that generate an overwhelming amount of data in the lifespan of the application runs. We describe what a dynamic big-data-driven application system (DBDDAS) toolkit must have in order to provide all of the essential building blocks that are necessary to easily create new DDDAS without re-inventing the building blocks

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