SMPCS: Sub-optimal Model Predictive Control Scheduler

  • Mehran Mahramian
  • Hassan Taheri
  • Mohammad Haeri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4003)


An approximated quadratic programming algorithm is proposed to determine a model predictive controller, which is applied to the scheduling problem. We name the algorithm Sub-optimal Model Predictive Control Scheduler (SMPCS). The SMPCS prepares a platform to guarantee end to end proportional delay in DiffServ architecture. This paper investigates the complication of SMPCS and its implementation problems in high speed routers. In order to efficiently implement the controller we admit sub-optimal results against reduction in the complexity of the optimizer. Simulation results show that the proposed approximation improves speed of the controller considerably.


Service Rate Model Predictive Control Traffic Class Manipulate Variable Background Traffic 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mehran Mahramian
    • 1
  • Hassan Taheri
    • 1
  • Mohammad Haeri
    • 2
  1. 1.Electrical Engineering DepartmentAmirkabir University of TechnologyTehranIran
  2. 2.Electrical Engineering DepartmentSharif University of TechnologyTehranIran

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