New Pipelined-based Solutions for Optimal Reconfigurations of Real-Time Systems

Maroua Gasmi, Olfa Mosbahi, Mohamed Salah Khalgui, Luís Filipe dos Santos Gomes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


This research paper deals with recon gurable real-timesystems to be adapted to their environment under userrequirements. A recon guration is a run-time softwareoperation that allows automatic additions, removals,or updates of real-time OS tasks. We propose a newPipelined solution for adaptive real-time systems toavoid any energy and memory draining due to severalrecon guration requests. The solution is performedby a sequence of modules in several steps. The SystemChecking Module in the rst step, is responsibleof checking if the resources, either Hardware or Software,needed by the added tasks are available or not.The second module maintains the stability by rejectingany insupportable input ow of recon gurations thatcan destabilize the system. The Third module checksthe availability of memory for each recon guration request,whereas the fourth module checks the availabilityof energy for the execution of the new system's softwarecon guration. The last module checks the schedulabilityof this con guration in order to meet all real-time constraintswhile optimizing the required response times oftasks. This pipeline is a safe way for any request to performfeasible recon gurations of real-time systems. LISILab develops a tool that encodes this proposition whichis also applied to a case study in the current paper.
Original languageEnglish
Title of host publicationEuropean Simulation and Modelling Conference, ESM
Publication statusPublished - 2014
EventESM’2014 - 28th European Simulation and Modelling Conference -
Duration: 1 Jan 2014 → …


ConferenceESM’2014 - 28th European Simulation and Modelling Conference
Period1/01/14 → …


  • Energy
  • Event-driven
  • Memory
  • Optimization
  • Real-time system
  • Reconfiguration
  • Resource sharing
  • Stability


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