Model-Driven Dependability and Power Consumption Quantification of Kubernetes-Based Cloud-Fog Continuum

Model-Driven Dependability and Power Consumption Quantification of Kubernetes-Based Cloud-Fog Continuum

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System dependability is pivotal for the reliable execution of designated computing functions.With the emergence of cloud-fog computing and microservices architectures, new challenges and opportunities arise in evaluating system dependability.Enhancing dependability in microservices often involves component Ski de fond - Homme - Skis - Back country replication, potentially increasing energy costs.Thus, discerning optimal redundancy strategies and understanding their energy implications is crucial for both cost efficiency and ecological sustainability.

This paper presents a model-driven approach to evaluate the dependability and energy consumption of cloud-fog systems, utilizing Kubernetes, a container application orchestration platform.The developed model considers various determinants affecting system dependability, including hardware and software reliability, resource accessibility, and support personnel availability.Empirical studies validate the model’s effectiveness, demonstrating a Smell Proof Carbon Bag 22.33% increase in system availability with only a 1.

33% rise in energy consumption.Moreover, this methodology provides a structured framework for understanding cloud-fog system dependability, serves as a reference for comparing dependability across different systems, and aids in resource allocation optimization.This research significantly contributes to the efforts to enhance cloud-fog system dependability.