Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution
Abstract The introduction of cloud‐native technology has significantly changed the architecture of applications and the mechanism for the collaborative operation of components in power distribution edge computing terminals (PDECT). To develop an effective quantitative analysis tool for PDECT perform...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.13283 |
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| _version_ | 1846170888829927424 |
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| author | Junjie Zheng Jing Qu Zexiang Cai Ying Xue Xiaohua Li |
| author_facet | Junjie Zheng Jing Qu Zexiang Cai Ying Xue Xiaohua Li |
| author_sort | Junjie Zheng |
| collection | DOAJ |
| description | Abstract The introduction of cloud‐native technology has significantly changed the architecture of applications and the mechanism for the collaborative operation of components in power distribution edge computing terminals (PDECT). To develop an effective quantitative analysis tool for PDECT performance, the composition and characteristics of cloud‐native PDECT are studied, and the modelling and simulation of cloud‐native PDECT are proposed. Subsequently, modelling is implemented through the simulation software CloudSim, achieving the simulation of microservices, containers, declarative configuration, and container orchestration with the consideration of power distribution scenarios. Then, by the proposed simulation scenario module, various elements of the power distribution scenarios can be self‐defined. Finally, by demonstrating the principles and implementation mechanisms of the proposed modelling method and simulation tool, and comparing simulation results for different service time ranges, access devices, resource configurations of PDECT, request occurrence rates, and resource scheduling strategies, the validity and effectiveness of the proposed modelling method and simulation tool are verified. |
| format | Article |
| id | doaj-art-3f304f3f1a0c4fecacf85d40cff26d65 |
| institution | Kabale University |
| issn | 1751-8687 1751-8695 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj-art-3f304f3f1a0c4fecacf85d40cff26d652024-11-11T11:03:12ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-11-0118213365337710.1049/gtd2.13283Modelling and simulation of cloud‐native‐based edge computing terminals for power distributionJunjie Zheng0Jing Qu1Zexiang Cai2Ying Xue3Xiaohua Li4School of Electric Power EngineeringSouth China University of TechnologyGuangzhouChinaSchool of Electric Power EngineeringSouth China University of TechnologyGuangzhouChinaSchool of Electric Power EngineeringSouth China University of TechnologyGuangzhouChinaSchool of Electric Power EngineeringSouth China University of TechnologyGuangzhouChinaSchool of Electric Power EngineeringSouth China University of TechnologyGuangzhouChinaAbstract The introduction of cloud‐native technology has significantly changed the architecture of applications and the mechanism for the collaborative operation of components in power distribution edge computing terminals (PDECT). To develop an effective quantitative analysis tool for PDECT performance, the composition and characteristics of cloud‐native PDECT are studied, and the modelling and simulation of cloud‐native PDECT are proposed. Subsequently, modelling is implemented through the simulation software CloudSim, achieving the simulation of microservices, containers, declarative configuration, and container orchestration with the consideration of power distribution scenarios. Then, by the proposed simulation scenario module, various elements of the power distribution scenarios can be self‐defined. Finally, by demonstrating the principles and implementation mechanisms of the proposed modelling method and simulation tool, and comparing simulation results for different service time ranges, access devices, resource configurations of PDECT, request occurrence rates, and resource scheduling strategies, the validity and effectiveness of the proposed modelling method and simulation tool are verified.https://doi.org/10.1049/gtd2.13283cloud computingdistribution networkspower distribution |
| spellingShingle | Junjie Zheng Jing Qu Zexiang Cai Ying Xue Xiaohua Li Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution IET Generation, Transmission & Distribution cloud computing distribution networks power distribution |
| title | Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution |
| title_full | Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution |
| title_fullStr | Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution |
| title_full_unstemmed | Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution |
| title_short | Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution |
| title_sort | modelling and simulation of cloud native based edge computing terminals for power distribution |
| topic | cloud computing distribution networks power distribution |
| url | https://doi.org/10.1049/gtd2.13283 |
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