Method for implementing time-control functions in real-time operating systems
- ,
- Oscar Linares,
- Karin Rojas,
- Edward Flores,
- Nicanor Benítes,
- Aly Auccahuasi
- ,
- Universidad Continental, Huancayo,
- Universidad Tecnológica del Perú,
- Universidad Nacional Federico Villarreal,
- Universidad Nacional Mayor de San Marcos,
- Universidad de Ingenieria y Tecnologia – UTEC
Publication Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 219-235 (17 pages)Publication milestones
- Published - 26/12/2023
Publication status
Publisher
River PublishersISBN (Print)
9788770040174ISBN (Electronic)
9788770040167Publication IDs
- Scopus: 85183710384
Host publication title
Advancement of Data Processing Methods for Artificial and Computing IntelligenceAbstract
Currently there are many applications that require to be executed in real time, as is the case of the various control systems. These applications have a particularity to run in a given time. With the use of resources, these tasks are grouped and classified by a priority mechanism, among other qualities of real-time applications. We can indicate that autonomous equipment uses programming based on real time; satellites and microsatellites also use them due to the need to be able to execute tasks at specific times and with a specific duration. In this area of applications, many solutions based on real-time programming arise. In this work, we implement a method to have a real-time system based on the Linux kernel, where you can make applications with exclusive use of the resources contained in the computer. The proposal is to configure an operating system based on Linux. We present, as a result, the procedures to be able to patch the Linux kernel, as well as the different configurations that have to be done; we also present model programs where we use the different approaches that allow us to develop real-time programming, the method presented can be implemented in different processor architectures, as well as to control different devices, with which the method is also scalable to solve more complex problems that require better control.
