• DocumentCode
    3717098
  • Title

    Multi-Constraint multi-processor Resource Allocation

  • Author

    Amir R. B. Behrouzian;Dip Goswami;Twan Basten;Marc Geilen;Hadi Alizadeh Ara

  • Author_Institution
    Eindhoven University of Technology, The Netherlands
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    338
  • Lastpage
    346
  • Abstract
    This work proposes a Multi-Constraint Resource Allocation (MuCoRA) method for applications from multiple domains onto multi-processors. In particular, we address a mapping problem for multiple throughput-constrained streaming applications and multiple latency-constrained feedback control applications onto a multi-processor platform running under a Time-Division Multiple-Access (TDMA) policy. The main objective of the proposed method is to reduce resource usage while meeting constraints from both these two domains (i.e., throughput and latency constraints). We show by experiments that the overall resource usage for this mapping problem can be reduced by distributing the allocated resource (i.e., TDMA slots) to the control applications over the TDMA wheel instead of allocating consecutive slots.
  • Keywords
    "Resource management","Throughput","Feedback control","Computational modeling","Program processors","Processor scheduling","Computer architecture"
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/SAMOS.2015.7363695
  • Filename
    7363695