scholarly journals Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping

2022 ◽  
Author(s):  
Matthias Volk ◽  
Daniel Staegemann ◽  
Ashraful Islam ◽  
Klaus Turowski
2014 ◽  
Vol 1070-1072 ◽  
pp. 1425-1429
Author(s):  
Rong Chang Yuan ◽  
Hu Yan ◽  
Xiao Ming Zhou ◽  
Fang Chun Di ◽  
Li Xin Li

As the new energy resources including scenery storage have been well accessed into power grid, the operation process of power dispatching and distribution involves the massive, multi type, high complex data which contain the real-time data, plan data, warning and monitoring data, environmental data. Nowadays, the application of big data focused on single analysis of structured and semi-structured data. And the deep learning analysis hasn’t been concerned, transforming power gird data into knowledge is the inevitable trend in the development of smart grid. In this paper, the power dispatching and distribution data were analyzed in detail from the data source, data characteristics, the trend of application etc. According to the new requirement of smart grid now and in the future, the potential application with big data technology was studied in the field of smart grid and the reference opinions was provide by intelligent analysis and decision which are accurate, security, economic, comprehensive optimal features. Finally, to meeting requirement of the power dispatching & distribution data analysis, power dispatching and distribution data system architecture was designed which is an integrated software/hardware, storage-computation-communication trinity. And it was proved that power dispatching and distribution data system architecture have strong supporting, service and safety ability.


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