Cloud-Dew computing support for automatic data analysis in life sciences

In this paper we show how the technologies associated with the evolution of Cloud computing to Dew computing can contribute to the advancing scientific computational productivity through automation. In the current big data paradigm developments, there is growing trend towards automation of data mining and other analytical processes involved in data science to increase productivity of associated applications. There are already several efforts to create automated data science platforms. However, these platforms are prevalently oriented towards business and engineering application domains. This paper addresses the automatic data analysis enabled by Cloud-Dew computing in the context of the life-science sector, in particular, in two application domains: breath gas analysis and brain damage restoration.