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A Flexible Framework for Real-Time Thermal-Aware Schedulers using Timed Continuous Petri Nets

  • Autores: Gaddiel Desirena Lopez, Laura Elena Rubio Anguiano, Antonio Ramírez Treviño, José Luis Briz Velasco
  • Localización: Computación y Sistemas (CyS), ISSN 1405-5546, ISSN-e 2007-9737, Vol. 23, Nº. 2, 2019, págs. 417-433
  • Idioma: inglés
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  • Resumen
    • Abstract: 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.

Los metadatos del artículo han sido obtenidos de SciELO México

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