DSpace Coleção:https://repositorio.ufms.br/handle/123456789/67802026-04-15T05:44:00Z2026-04-15T05:44:00ZUm estudo comparativo entre Journaling e Copy-on-Write em sistemas de arquivoshttps://repositorio.ufms.br/handle/123456789/142332026-01-26T13:23:18Z2025-01-01T00:00:00ZTítulo: Um estudo comparativo entre Journaling e Copy-on-Write em sistemas de arquivos
Abstract: The reliability of file systems depends on mechanisms capable of preserving data consistency in the presence of abrupt failures. Among the main approaches adopted are Journaling and Copy-on-Write (CoW), which follow distinct strategies to achieve this goal. This work presents a comparative analysis of these techniques, exploring their conceptual foundations and practical implementations. Journaling is examined through the Ext4 file system, highlighting the role of JBD2 in the organization of transactions, commits, and recovery after failures. In contrast, Copy-on-Write is studied based on OpenZFS, where immutable block writes and the use of atomic commits ensure structural consistency. The comparison shows that journaling preserves the traditional file system architecture by adding a protection log, whereas CoW redefines the system’s internal design, enabling advanced functionalities such as snapshots and clones.
Tipo: Outros2025-01-01T00:00:00ZEstudo sobre Kubernetes, Docker e outras tecnologias de Computação Distribuídahttps://repositorio.ufms.br/handle/123456789/142322026-01-26T13:19:31Z2025-01-01T00:00:00ZTítulo: Estudo sobre Kubernetes, Docker e outras tecnologias de Computação Distribuída
Abstract: This activity focuses on developing practical materials for the Distributed Computing course. The goal is to provide tutorials that enable students to run Kubernetes applications in Linux environments.
Tipo: Artigo de Evento2025-01-01T00:00:00ZAlgoritmos de Inferência de Redes de Regulação Gênica usando Deep Learninghttps://repositorio.ufms.br/handle/123456789/140782025-12-09T20:23:02Z2025-01-01T00:00:00ZTítulo: Algoritmos de Inferência de Redes de Regulação Gênica usando Deep Learning
Abstract: In this Guided Teaching Activity (GTA), we studied the problem of inferring gene regulatory networks using Deep Learning and single-cell RNA-Seq (scRNA-Seq) data. To do this, we studied the concepts of Deep Learning from a course on Neural Networks and Deep Learning. A review of the scientific literature on network inference methodologies using Deep Learning models was conducted. Based on the source code provided in some of the studied articles, experiments were partially performed.
Tipo: Outros2025-01-01T00:00:00ZTécnicas de Defesa contra Reverse Shellhttps://repositorio.ufms.br/handle/123456789/136152025-12-02T22:09:05Z2025-01-01T00:00:00ZTítulo: Técnicas de Defesa contra Reverse Shell
Abstract: Study related to Reverse Shell and it's defense techniques
Tipo: Outros2025-01-01T00:00:00Z