Publication detail

Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences

BREZANY, P. LUDESCHER, T. FEILHAUER, T.

Original Title

Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences

Type

conference paper

Language

English

Original Abstract

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.

Keywords

automatic scientific data analysis; Cloud-Dew computing; breath gas analysis; brain damage restoration

Authors

BREZANY, P.; LUDESCHER, T.; FEILHAUER, T.

Released

26. 5. 2017

Publisher

IEEE

Location

NEW YORK

ISBN

978-953-233-090-8

Book

2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Pages from

365

Pages to

370

Pages count

6

URL

https://ieeexplore.ieee.org/document/7973450

BibTex

@inproceedings{BUT163696,
  author="BREZANY, P. and LUDESCHER, T. and FEILHAUER, T.",
  title="Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences",
  booktitle="2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)",
  year="2017",
  pages="365--370",
  publisher="IEEE",
  address="NEW YORK",
  doi="10.23919/MIPRO.2017.7973450",
  isbn="978-953-233-090-8",
  url="https://ieeexplore.ieee.org/document/7973450"
}