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 d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied System Innovation |
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| Online Access: | https://www.mdpi.com/2571-5577/7/6/130 |
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| author | Janis Judvaitis Eduards Blumbergs Audris Arzovs Andris Ivars Mackus Rihards Balass Leo Selavo |
| author_facet | Janis Judvaitis Eduards Blumbergs Audris Arzovs Andris Ivars Mackus Rihards Balass Leo Selavo |
| author_sort | Janis Judvaitis |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-67926b0a34854616bcee9d7670eb7eb7 |
| institution | DOAJ |
| issn | 2571-5577 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied System Innovation |
| spelling | doaj-art-67926b0a34854616bcee9d7670eb7eb72025-08-20T02:55:54ZengMDPI AGApplied System Innovation2571-55772024-12-017613010.3390/asi7060130A Set of Tools and Data Management Framework for the IoT–Edge–Cloud ContinuumJanis Judvaitis0Eduards Blumbergs1Audris Arzovs2Andris Ivars Mackus3Rihards Balass4Leo Selavo5Institute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, LatviaDeveloping 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.https://www.mdpi.com/2571-5577/7/6/130IoTedgecloudIoT–Edge–Cloud Continuumsoftware frameworkdifferential privacy |
| spellingShingle | Janis Judvaitis Eduards Blumbergs Audris Arzovs Andris Ivars Mackus Rihards Balass Leo Selavo A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum Applied System Innovation IoT edge cloud IoT–Edge–Cloud Continuum software framework differential privacy |
| title | A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum |
| title_full | A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum |
| title_fullStr | A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum |
| title_full_unstemmed | A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum |
| title_short | A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum |
| title_sort | set of tools and data management framework for the iot edge cloud continuum |
| topic | IoT edge cloud IoT–Edge–Cloud Continuum software framework differential privacy |
| url | https://www.mdpi.com/2571-5577/7/6/130 |
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