This article explores the world of dependable systems, specifically focusing on system
design, software solutions, and architectural decisions that facilitate collaborative work on …

This study presents a predictive maintenance system designed for industrial Internet of
Things (IoT) environments, focusing on resource efficiency and adaptability. The system …

Objectives To enhance the throughput of DNS parsing by addressing the computational
expense of processing large plain text DNS zone files. To specifically increase the speed of …

As the complexity and scale of machine learning applications continue to grow, the need for
efficient training methodologies becomes increasingly critical. Traditional training processes …

This thesis investigates the performance of various message brokers in microservice
architectures. Specifically, it focuses on RabbitMQ, Kafka, and Redis. As software systems …

Federated Learning (FL) is a significant distributed machine learning technique that enables
training on sensitive private data instead of centrally collecting it and violating laws and …

The book introduced in XXII Escola Regional de Alto Desempenho da Região Sul
(ERAD/RS)–event coordinated by Sociedade Brasileira de Computação (SBC) and …