TY - GEN
T1 - Providing the Key Ingredients of an Edge PaaS for Supporting and Facilitating the Development of Smart Energy Applications
AU - Di Orio, Giovanni
AU - Maló, Pedro
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The monitoring and control of Critical Energy Infrastructure (CEI) is nowadays entrusted to Smart Grids (SGs). SGs rely on massive data and services to provide “awareness” about the status of the system. To do that distributed computing schemes have been applied based on decentralized communications, data collection, extractions, loading and analysis. These schemas are totally aligned with the Edge Computing (EC) paradigm. EC is an emerging paradigm that provides capabilities for processing and analyzing data away from the cloud, at the edge of the network closer to the source of the data. It offers multiple benefits including improved application performance, network latency reduction, and data locality. These characteristics reinforce EC is expected to have great impact on SG. However, a crucial aspect in implementing EC is company’s foundational technology to really progress in cyber, digital, and cloud moves for SGs. The authors strongly believe that the foundation for the successful implementation of cloud/edge-based solutions strictly depends on employing new core architectures based on modern advanced cloud-native solutions, i.e., patterns, tools, techniques, and technologies derived from cloud-based designCaparica. As a result of this statement an Edge Platform-as-a-Service (PaaS) has been designed, developed, and deployed and used as the foundation of a flexible data platform at the Edge made up of fast-deployable, open source, and free-to-use PaaS services.
AB - The monitoring and control of Critical Energy Infrastructure (CEI) is nowadays entrusted to Smart Grids (SGs). SGs rely on massive data and services to provide “awareness” about the status of the system. To do that distributed computing schemes have been applied based on decentralized communications, data collection, extractions, loading and analysis. These schemas are totally aligned with the Edge Computing (EC) paradigm. EC is an emerging paradigm that provides capabilities for processing and analyzing data away from the cloud, at the edge of the network closer to the source of the data. It offers multiple benefits including improved application performance, network latency reduction, and data locality. These characteristics reinforce EC is expected to have great impact on SG. However, a crucial aspect in implementing EC is company’s foundational technology to really progress in cyber, digital, and cloud moves for SGs. The authors strongly believe that the foundation for the successful implementation of cloud/edge-based solutions strictly depends on employing new core architectures based on modern advanced cloud-native solutions, i.e., patterns, tools, techniques, and technologies derived from cloud-based designCaparica. As a result of this statement an Edge Platform-as-a-Service (PaaS) has been designed, developed, and deployed and used as the foundation of a flexible data platform at the Edge made up of fast-deployable, open source, and free-to-use PaaS services.
KW - Asset administration shell
KW - Cloud-native
KW - DevOps
KW - Edge computing
KW - Edge PaaS
KW - Industry 4.0
KW - Smart grids
UR - http://www.scopus.com/inward/record.url?scp=85135085185&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-10047-5_13
DO - 10.1007/978-3-031-10047-5_13
M3 - Conference contribution
AN - SCOPUS:85135085185
SN - 9783031100468
T3 - Lecture Notes in Electrical Engineering
SP - 142
EP - 154
BT - CONTROLO 2022 - Proceedings of the 15th APCA International Conference on Automatic Control and Soft Computing
A2 - Brito Palma, Luís
A2 - Neves-Silva, Rui
A2 - Gomes, Luís
PB - Springer
CY - Cham
T2 - 15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022
Y2 - 6 July 2022 through 8 July 2022
ER -
