AMEC: Model for Analyzing Applications with Microservices Based on Energy Consumption Monitoring

• Lucas Oliveira da Silva UNISINOS
• Rodrigo da Rosa Righi UNISINOS

DOI: https://doi.org/10.5753/eradrs.2025.6649

Abstract

Cloud computing is present in daily life through cameras, sensors, management systems, and mobile applications. The microservices architecture, widely used in the cloud, stands out for its scalability, flexibility, and problem identification. However, the increase in computational power leads to high energy consumption, requiring studies for greater efficiency. This paper presents the AMEC model, which analyzes performance bottlenecks with a focus on energy consumption in microservices. The model monitors CPU, memory, network, and disk in real-time, generating a detailed energy report. Initial results indicate its effectiveness compared to the state of the art.

Keywords: High-Performance Computing Applications in Sciences and Engineering, Computer Architectures, Evaluation, Measurement, and Performance Prediction, Data Science and High-Performance Computing

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