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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Main Authors: Sérgio N. Silva, Mateus A. S. de S. Goldbarg, Lucileide M. D. da Silva, Marcelo A. C. Fernandes
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Future Internet
Subjects:
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.
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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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