Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing
This paper presents a fuzzy logic-based approach for replica scaling in a Kubernetes environment, focusing on integrating Edge Computing. The proposed FHS (Fuzzy-based Horizontal Scaling) system was compared to the standard Kubernetes scaling mechanism, HPA (Horizontal Pod Autoscaler). The compariso...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/16/9/316 |
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| author | Sérgio N. Silva Mateus A. S. de S. Goldbarg Lucileide M. D. da Silva Marcelo A. C. Fernandes |
| author_facet | Sérgio N. Silva Mateus A. S. de S. Goldbarg Lucileide M. D. da Silva Marcelo A. C. Fernandes |
| author_sort | Sérgio N. Silva |
| collection | DOAJ |
| description | This paper presents a fuzzy logic-based approach for replica scaling in a Kubernetes environment, focusing on integrating Edge Computing. The proposed FHS (Fuzzy-based Horizontal Scaling) system was compared to the standard Kubernetes scaling mechanism, HPA (Horizontal Pod Autoscaler). The comparison considered resource consumption, the number of replicas used, and adherence to latency Service-Level Agreements (SLAs). The experiments were conducted in an environment simulating Edge Computing infrastructure, with virtual machines used to represent edge nodes and traffic generated via JMeter. The results demonstrate that FHS achieves a reduction in CPU consumption, uses fewer replicas under the same stress conditions, and exhibits more distributed SLA latency violation rates compared to HPA. These results indicate that FHS offers a more efficient and customizable solution for replica scaling in Kubernetes within Edge Computing environments, contributing to both operational efficiency and service quality. |
| format | Article |
| id | doaj-art-0a428535f89841578ffac9aeee01c535 |
| institution | OA Journals |
| issn | 1999-5903 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-0a428535f89841578ffac9aeee01c5352025-08-20T01:55:27ZengMDPI AGFuture Internet1999-59032024-09-0116931610.3390/fi16090316Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge ComputingSérgio N. Silva0Mateus A. S. de S. Goldbarg1Lucileide M. D. da Silva2Marcelo A. C. Fernandes3InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, BrazilInovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, BrazilInovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, BrazilInovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, BrazilThis paper presents a fuzzy logic-based approach for replica scaling in a Kubernetes environment, focusing on integrating Edge Computing. The proposed FHS (Fuzzy-based Horizontal Scaling) system was compared to the standard Kubernetes scaling mechanism, HPA (Horizontal Pod Autoscaler). The comparison considered resource consumption, the number of replicas used, and adherence to latency Service-Level Agreements (SLAs). The experiments were conducted in an environment simulating Edge Computing infrastructure, with virtual machines used to represent edge nodes and traffic generated via JMeter. The results demonstrate that FHS achieves a reduction in CPU consumption, uses fewer replicas under the same stress conditions, and exhibits more distributed SLA latency violation rates compared to HPA. These results indicate that FHS offers a more efficient and customizable solution for replica scaling in Kubernetes within Edge Computing environments, contributing to both operational efficiency and service quality.https://www.mdpi.com/1999-5903/16/9/316edge computingKubernetesfuzzy logichorizontal scaling |
| spellingShingle | Sérgio N. Silva Mateus A. S. de S. Goldbarg Lucileide M. D. da Silva Marcelo A. C. Fernandes Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing Future Internet edge computing Kubernetes fuzzy logic horizontal scaling |
| title | Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing |
| title_full | Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing |
| title_fullStr | Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing |
| title_full_unstemmed | Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing |
| title_short | Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing |
| title_sort | application of fuzzy logic for horizontal scaling in kubernetes environments within the context of edge computing |
| topic | edge computing Kubernetes fuzzy logic horizontal scaling |
| url | https://www.mdpi.com/1999-5903/16/9/316 |
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