• DocumentCode
    2834555
  • Title

    Outstanding Paper Award: Task Assignment Algorithms for Two-Type Heterogeneous Multiprocessors

  • Author

    Raravi, G. ; Andersson, B. ; Bletsas, K. ; Nelis, V.

  • Author_Institution
    CISTER-ISEP Res. Center, Polytech. Inst. of Porto, Porto, Portugal
  • fYear
    2012
  • fDate
    11-13 July 2012
  • Firstpage
    34
  • Lastpage
    43
  • Abstract
    Consider the problem of assigning implicit deadline sporadic tasks on a heterogeneous multiprocessor platform comprising two different types of processors - such a platform is referred to as two-type platform. We present two line arithmic time-complexity algorithms, SA and SA-P, each providing the following guarantee. For a given two-type platform and a given task set, if there exists a feasible task to-processor-type assignment such that tasks can be scheduled to meet deadlines by allowing them to migrate only between processors of the same type, then (i) using SA, it is guaranteed to find such a feasible task-to-processor-type assignment where the same restriction on task migration applies but given a platform in which processors are 1 + α/2 times faster and (ii) SA-P succeeds in finding a feasible task-to-processor assignment where tasks are not allowed to migrate between processors but given a platform in which processors are 1 + α times faster, where 0 <; α ≤ 1. The parameter is a property of the task set α it is the maximum utilization of any task which is less than or equal to 1.
  • Keywords
    computational complexity; multiprocessing systems; processor scheduling; task analysis; SA; SA-P; heterogeneous multiprocessor; linearithmic time complexity algorithm; task assignment algorithm; task migration; task-to-processor-type assignment; Approximation algorithms; Approximation methods; Optimal scheduling; Processor scheduling; Program processors; Schedules; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems (ECRTS), 2012 24th Euromicro Conference on
  • Conference_Location
    Pisa
  • ISSN
    1068-3070
  • Print_ISBN
    978-1-4673-2032-0
  • Type

    conf

  • DOI
    10.1109/ECRTS.2012.21
  • Filename
    6257557