Abstract
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.
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References
Orio, G.D., Brito, G., Malo, P., Sadu, A., Wirtz, N., Monti, A.: A cyber-physical approach to resilience and robustness by design. Int. J. Adv. Comput. Sci. Appl. (IJACSA), 11(7) (2020). https://doi.org/10.14569/IJACSA.2020.0110710. Art. no. 7, 34/31
De la Prieta, F., Corchado, J.M.: Cloud computing and multiagent systems, a promising relationship. In: Kołodziej, J., Correia, L., Molina, J.M. (eds.) Intelligent Agents in Data-intensive Computing. SBD, vol. 14, pp. 143–161. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-23742-8_7
Feng, C., Wang, Y., Chen, Q., Ding, Y., Strbac, G., Kang, C.: Smart grid encounters edge computing: opportunities and applications. Adv. Appl. Energy 1, 100006 (2021). https://doi.org/10.1016/j.adapen.2020.100006
Pahl, C., Lee, B.: Containers and clusters for edge cloud architectures – a technology review. In: 2015 3rd International Conference on Future Internet of Things and Cloud, August 2015, pp. 379–386. https://doi.org/10.1109/FiCloud.2015.35
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, New York, NY, USA, pp. 13–16 (2012). https://doi.org/10.1145/2342509.2342513
Dhasarathy, A., Gill, I., Khan, N., Sekar, S., Van Kuiken, S.: How to become ‘tech forward’: A technology-transformation approach that works. McKinsey Technology, November 2020
Kristiani, E., Yang, C.T., Huang, C.Y., et al.: The implementation of a cloud-edge computing architecture using Openstack and Kubernetes for air quality monitoring application. Mob. Netw. Appl. 26, 1070–1092 (2021). https://doi.org/10.1007/s11036-020-01620-5
Chen, S., et al.: Internet of things based smart grids supported by intelligent edge computing. IEEE Access 7, 74089–74102 (2019)
Edge Computing Consortium. http://en.ecconsortium.org/Index/index.html
OpenFog Consortium Architecture Working Group: “OpenFog Reference Architecture for Fog Computing.” February 2017. https://www.iiconsortium.org/
Open Industry 4.0 Alliance: Open Industry 4.0 Alliance. https://openindustry4.com/
Open Industry 4.0 Alliance: “Open Industry 4.0 Alliance White Paper.” (2020). https://openindustry4.com/
Mell, P., Grance, T.: The NIST definition of cloud computing. In: National Institute of Standards and Technology, NIST Special Publication (SP), pp. 800–145, September 2011. https://doi.org/10.6028/NIST.SP.800-145
Pahl, C., Brogi, A., Soldani, J., Jamshidi, P.: Cloud container technologies: a state-of-the-art review. IEEE Trans. Cloud Comput. 7(3), 677–692 (2019). https://doi.org/10.1109/TCC.2017.2702586
Koukis, V., Venetsanopoulos, C., Koziris, N.: okeanos: building a cloud, cluster by cluster. IEEE Internet Comput. 17(3), 67–71 (2013). https://doi.org/10.1109/MIC.2013.43
CISCO and Rockwell Automation, “Securely Traversing IACS Data Across the Industrial Demilitarized Zone.” Rockwell Automation (2017). https://literature.rockwellautomation.com/idc/groups/literature/documents/. Accessed 5 Mar 2022
di Orio, G., Maló, P., Barata, J.: NOVAAS: a reference implementation of Industrie 4.0 asset administration shell with best-of-breed practices from IT engineering. In: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, October 2019, vol. 1, pp. 5505–5512. https://doi.org/10.1109/IECON.2019.8927081
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Di Orio, G., Maló, P. (2022). Providing the Key Ingredients of an Edge PaaS for Supporting and Facilitating the Development of Smart Energy Applications. In: Brito Palma, L., Neves-Silva, R., Gomes, L. (eds) CONTROLO 2022. CONTROLO 2022. Lecture Notes in Electrical Engineering, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-031-10047-5_13
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