• DocumentCode
    3436960
  • Title

    An Efficient Task Serializer for Hard Real-Time TMO Systems

  • Author

    Kim, Hyun-Joo ; Kim, Jung-Guk ; Chang, Chunhyon ; Han, Sunyoung ; Hue, Shin

  • Author_Institution
    Hankuk Univ., Seoul
  • fYear
    2008
  • fDate
    5-7 May 2008
  • Firstpage
    405
  • Lastpage
    412
  • Abstract
    Timeliness-guaranteed computing considering the worst case can hardly be accomplished at run time because of the uncertainty caused by resource sharing, asynchronous events and conflicting timing constraints between tasks. An easier way to reach it is to do some off-line analysis from design time with predictable characteristics of tasks. The TMO model supporting time-triggered (SpM) and message-triggered (SvM) member-threads is a well-known real-time object-oriented task model that aims the design-time guaranteed computing. In this paper, a new efficient task serializer that allocates the executions of time-triggered periodic tasks of multiple TMOs without delay and preemption to avoid resource conflicts is presented. The serializer tries to find scheduling scenarios in that each SpM is executed at its exact trigger-time without delay based on the given WCET. This is done by recasting the initial offsets of SpMs to avoid overlaps of executions. And several methods to handle SvMs according to the types of SvMs using the serializer are also proposed.
  • Keywords
    object-oriented programming; asynchronous events; message-triggered model; real-time TMO systems; real-time object-oriented task model; resource sharing; task serializer; time-triggered periodic tasks; timing constraints; Delay; Distributed computing; Engines; Processor scheduling; Real time systems; Resource management; Scanning probe microscopy; Time sharing computer systems; Timing; Uncertainty; Hard Real-time Systems; TMO; Task Serializer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Object Oriented Real-Time Distributed Computing (ISORC), 2008 11th IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-0-7695-3132-8
  • Type

    conf

  • DOI
    10.1109/ISORC.2008.43
  • Filename
    4519610