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

被引:0
|
作者
Judvaitis, Janis [1 ]
Blumbergs, Eduards [1 ]
Arzovs, Audris [1 ]
Mackus, Andris Ivars [1 ]
Balass, Rihards [1 ]
Selavo, Leo [1 ]
机构
[1] Inst Elect & Comp Sci, Dzerbenes St 14, LV-1006 Riga, Latvia
关键词
IoT; edge; cloud; IoT-Edge-Cloud Continuum; software framework; differential privacy; management tool;
D O I
10.3390/asi7060130
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:15
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