Document - Data Science Workflows for the Cloud/Edge Computing Continuum

2021

Conference article Open Access

Data Science Workflows for the Cloud/Edge Computing Continuum

Grossi V., Trasarti R., Dazzi P.

Workflow languages Edge computing Research infrastructure

Research infrastructures play a crucial role in the development of data science. In fact, the conjunction of data, infrastructures and analytical methods enable multidisciplinary scientists and innovators to extract knowledge and to make the knowledge and experiments reusable by the scientific community, innovators providing an im- pact on science and society. Resources such as data and methods, help domain and data scientists to transform research in an innovation question into a responsible data-driven analytical process. On the other hand, Edge computing is a new computing paradigm that is spreading and developing at an incredible pace. Edge computing is based on the assumption that for certain applications is beneficial to bring the computation as closer as possible to data or end-users. This paper introduces an approach for writing data science workflows targeting research infrastructures that encompass resources located at the edge of the network.

Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25/06/2021

Publisher: Association Of Computing Machinery (ACM), New York, USA

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@inproceedings{oai:it.cnr:prodotti:454299,
	title = {Data Science Workflows for the Cloud/Edge Computing Continuum},
	author = {Grossi V. and Trasarti R. and Dazzi P.},
	publisher = {Association Of Computing Machinery (ACM), New York, USA},
	doi = {10.1145/3452369.3463820},
	booktitle = {FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25/06/2021},
	year = {2021}
}