Cloud-Native Data Science for Edge Computing and IoT Applications

Abstract : The use of edge computing and the Internet of Things are now considered essential subcategories of contemporary data systems. There is a new wave of data science application deployment approaches and management modularity, also referred to as cloud-native which caters for the required distribution to edge devices. The factors under consideration in this paper are emerging cloud-native technologies that include containerization, microservices, and the serverless model in data science workflows for edge computing and the Internet of Things. The above insights reveal the effectiveness of using this approach in supporting organizations for data science to create highly generalized, safe, and efficient data systems that meet the demands of edge working settings. Innovative city solutions, health care, and industrial Internet of Things are the important areas examined, and additional prospects and concerns are introduced.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-26
DOI
https://doi.org/10.5281/zenodo.13994966
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Cloud-Native Data Science for Edge Computing and IoT Applications

Zenodo (CERN European Organization for Nuclear Research)
IoT and Edge/Fog Computing
article

Cloud-Native Data Science for Edge Computing and IoT Applications

article en

Abstract

Abstract : The use of edge computing and the Internet of Things are now considered essential subcategories of contemporary data systems. There is a new wave of data science application deployment approaches and management modularity, also referred to as cloud-native which caters for the required distribution to edge devices. The factors under consideration in this paper are emerging cloud-native technologies that include containerization, microservices, and the serverless model in data science workflows for edge computing and the Internet of Things. The above insights reveal the effectiveness of using this approach in supporting organizations for data science to create highly generalized, safe, and efficient data systems that meet the demands of edge working settings. Innovative city solutions, health care, and industrial Internet of Things are the important areas examined, and additional prospects and concerns are introduced.

Zenodo (CERN European Organization for Nuclear Research)
University of Wisconsin–Milwaukee (US)
Sustainable cities and communities
Openalex Percentile: Top 61%
IoT and Edge/Fog Computing
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Cloud-Native Data Science for Edge Computing and IoT Applications · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS