Conceptual Architecture of GATE Big Data Platform
| Autor: | Iva Krasteva, Irena Pavlova, Dessislava Petrova-Antonova, Sylvia Ilieva |
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| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Test data generation Big data 020206 networking & telecommunications Usability 02 engineering and technology Modular design Conceptual architecture Engineering management Smart city Component (UML) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Architecture business |
| Zdroj: | CompSysTech |
| DOI: | 10.1145/3345252.3345282 |
| Popis: | Today we experience a data-driven society. All human activities, industrial processes and research lead to data generation of unprecedented scale, spurring new products, services and businesses. Big Data and its application have been a target for European Commission -- with more than 100 FP7 and about 50 H2020 funded projects under Big Data domain. GATE project aims to establish and sustain in the long run a Centre of Excellence as collaborative environment for conducting Big Data research and innovation, facilitated by GATE platform and Innovation Labs. This paper proposes a conceptual architecture of GATE platform, that is holistic, symbiotic, open, evolving and data-integrated. It is also modular and with component-based design that allows to position a mix of products and tools from different providers. GATE platform will enable start-ups, SMEs and large enterprises, as well as other organizations in a wide range of sectors, to build advanced Data driven services and applications. The usability of the proposed architecture is proven through a development of a sample time series data visualization application. Its architecture follows the proposed one through implementation of required components using open technology stack. |
| Databáze: | OpenAIRE |
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