SciELO - Scientific Electronic Library Online

 
 issue61Oscillator for Biosensors based on Quartz Crystal Microbalance (QCM)Activity scheduling through gantt charts in an ms excel spreadsheet author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230On-line version ISSN 2422-2844

Abstract

GUEVARA LOPEZ, Pedro; MEDEL JUAREZ, José de Jesús  and  DELGADO REYES, Gustavo. Description of execution time dynamics for a set of concurrent real-time tasks. Rev.fac.ing.univ. Antioquia [online]. 2011, n.61, pp.123-131. ISSN 0120-6230.

A Real-time System (RTS) implemented in a digital computer interacts with the physical world through knowledge variables (sensors, actuators, Analogical - Digital, and Digital-Analogical convertors) processing its requirements through real-time tasks (Ji: iZ+). Each Ji. is formed by a set of instances {ji,k: i,kZ+, i is the task index, k is the instance index} with at least three time constraints: arrival, execution and, interval times (Li,k, Ci,k, Di,k). The execution time identification Ĉi,k, is based on Instrumental Variable parameter estimation and the recursive state space ARMA model. The execution times were measured experimentally using a Real-time Operative System QNX 6.5 Neutrino in an Intel Core i7 processor with a speed of 2.66 GHz. This paper presents a state of the art real-time task model, execution time measurements, an Instrumental Variable parameter estimator on recursive state space identification, experimentation and, results.

Keywords : Tasks; Real-time; estimation; identifier; computing time; instance; error.

        · abstract in Spanish     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License