SciELO - Scientific Electronic Library Online

 
vol.23 número2Dark Channel Applied for Reduction of the Effects of Non-uniform Illumination in Image BinarizationToward a Unique Representation for AVL and Red-Black Trees índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Computación y Sistemas

versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546

Resumen

DESIRENA LOPEZ, Gaddiel; RUBIO ANGUIANO, Laura Elena; RAMIREZ TREVINO, Antonio  y  BRIZ VELASCO, José Luis. A Flexible Framework for Real-Time Thermal-Aware Schedulers using Timed Continuous Petri Nets. Comp. y Sist. [online]. 2019, vol.23, n.2, pp.417-433.  Epub 10-Mar-2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-23-2-3204.

This work presents TCPN-ThermalSim, a software tool for testing Real-Time Thermal-Aware Schedulers1. This framework consists of four main modules. The first one helps the user to define the problem: task set with periods, deadlines and worst case execution times in CPU cycles, along with the CPU characteristics, temperature and energy consumption. The second module is the Kernel simulation, which builds up a global simulation model according to the configuration module. In the third module, the user selects the scheduler algorithm. Finally the last module allows the execution of the simulation and present the results. The framework encompasses two modes: manual and automatic. In manual mode the simulator uses the task set data provided in the first section. In automatic mode the task set is generated by parameterizing the integrated UUniFast algorithm.

Palabras llave : Scheduling; simulator; Petri nets.

        · texto en Inglés     · Inglés ( pdf )