Jean Araujo

Performance evaluation of container management tasks in OS-level virtualization platforms

By Pedro Melo, Lucas Gama, Jamilson Dantas, David Beserra, Jean Araujo

2023-12-01

In 31th IEEE international conference on enabling technologies: Infrastructure for collaborative enterprises (WETICE)

Abstract Cloud computing is a method for accessing and managing computing resources over the internet, providing flexibility, scalability, and cost-efficiency. Cloud computing relies more and more on OS-level virtualization tools such as Docker and Podman, enabling users to create and run containers, which are widely used for application management. Given its significance in cloud infrastructures, it is crucial to have a better understanding of OS-level virtualization performance, especially in tasks related to container management (ex: creation, destruction).

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Could the topology of virtual processors affect the performance of a BSD-family OS running in a VM?

By David Beserra, Marc Espie, Jean Araujo, Léo Tomasimo, Hector Poncins, Hadrien-Samrek Lacombe, Thomas Vondracek

2023-06-01

In 18th iberian conference on information systems and technologies (CISTI’2023)

Abstract Virtual machines are an essential technology in distributed and pervasive systems. One of its configurable parameters is the topology of the virtual processing system, which can potentially impact its performance. In this work, we verify how different virtual processing topologies affect the performance of VMs running BSD OSes. We conclude that in some types of application the topology does not affect the VM performance, while in others it does, and that the performance impact also depends on the OS adopted by the VM.

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A systemic mapping of methods and tools for performance analysis of data streaming with containerized microservices architecture

By S. Ris, Jean Araujo, David Beserra

0001-01-01

In 18th iberian conference on information systems and technologies (CISTI’2023)

Abstract With the Internet of Things (IoT) growth and customer expectations, the importance of data streaming and streaming processing has increased. Data Streaming refers to the concept where data is processed and transmitted continuously and in real-time without necessarily being stored in a physical location. Personal health monitors and home security systems are examples of data streaming sources. This paper presents a systematic mapping study of the performance analysis of Data Streaming systems in the context of Containerization and Microservices.

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