A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum

Developing and managing complex IoT–Edge–Cloud Continuum (IECC) systems are challenging due to the system complexity and diversity. Internet of Things (IoT), Edge, and Cloud components combined with artificial intelligence (AI) in data processing systems must ensure strong security and privacy for data sources. The approach of the IECC Data Management Framework (DMF) introduces a novel combination of multiple easy-to-configure plugin environments using data visualization features. These contributions collectively address the critical challenges inherent in heterogeneous environments such as scalability, data privacy, and configuration management by standardizing data flow configurations and increasing stakeholder trust in sensitive applications, particularly in critical infrastructure monitoring.

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Publication Details

Journal
Applied System Innovation
Published
2024-12-23
DOI
https://doi.org/10.3390/asi7060130
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35

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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum

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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum

Jānis Judvaitis, Rihards Balašs, Leo Selavo, Andris Ivars Mackus, Audris Arzovs, Eduards Blumbergs
article en
1 citations

Abstract

Developing and managing complex IoT–Edge–Cloud Continuum (IECC) systems are challenging due to the system complexity and diversity. Internet of Things (IoT), Edge, and Cloud components combined with artificial intelligence (AI) in data processing systems must ensure strong security and privacy for data sources. The approach of the IECC Data Management Framework (DMF) introduces a novel combination of multiple easy-to-configure plugin environments using data visualization features. These contributions collectively address the critical challenges inherent in heterogeneous environments such as scalability, data privacy, and configuration management by standardizing data flow configurations and increasing stakeholder trust in sensitive applications, particularly in critical infrastructure monitoring.

Applied System InnovationVol. 7(6)
Institute of Electronics and Computer Science (LV)
Latvijas Zinātnes Padome
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
IoT and Edge/Fog Computing
0.35
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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum — Jānis Judvaitis, Rihards Balašs, et al. · Applied System Innovation (2024) | TGRS Research Map | TGRS