WorldCIST'14 - The 2014 World Conference on Information Systems and Technologies

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A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud

Software architectures that allow researchers to explore advanced modeling by scaling horizontally in the cloud can lead to new insights and improved accuracy of modeling results. We propose a generalized highly scalable information system architecture that researchers can employ in predictive analytics research for working with both historical data and real-time temporally structured big data. The proposed architecture is fully automated and uses the same analytical software for both training and live predictions.

Author(s):

Magnus Westerlund    
Arcada University of Applied Sciences
Finland

Ulf Hedlund    
Arcada University of Applied Sciences
Finland

Göran Pulkkis    
Arcada University of Applied Sciences
Finland

Kaj-Mikael Björk    
Arcada University of Applied Sciences
Finland

 

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