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Optimization of real-time multiserver system with two different channels and shortage of maintenance facilities

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  • Ianovsky, Edward
  • Kreimer, Joseph

Abstract

We present optimality conditions for real-time multiserver system with large number of identical servers (e.g. unmanned air vehicles, machine controllers, etc.) and two non-identical channels (e.g. surveillance regions, assembly lines, etc.) working under maximum load regime with limited maintenance facilities. Real-time systems are responsible for operations management of increasingly sensitive applications, particularly those in which failures to satisfy temporal restrictions can lead to serious or even dangerous consequences. Optimization of these systems is very important. We calculate limiting values of system availability and its loss penalty function and show how to obtain optimal assignment probabilities which optimize (maximize and minimize, respectively) these performance measures.

Suggested Citation

  • Ianovsky, Edward & Kreimer, Joseph, 2003. "Optimization of real-time multiserver system with two different channels and shortage of maintenance facilities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 615-627.
    • Handle: RePEc:eee:matcom:v:63:y:2003:i:6:p:615-627
    DOI: 10.1016/S0378-4754(03)00092-2
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    References listed on IDEAS

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    1. Kreimer, Joseph, 2000. "Real-time multiserver system with two non-identical channels and limited maintenance facilities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 53(1), pages 85-94.
    2. Joseph Kreimer & Abraham Mehrez, 1994. "Optimal Real-Time Data Acquisition and Processing by a Multiserver Stand-by System," Operations Research, INFORMS, vol. 42(1), pages 24-30, February.
    3. Litoiu, Marin & Tadei, Roberto, 1997. "Real time task scheduling allowing fuzzy due dates," European Journal of Operational Research, Elsevier, vol. 100(3), pages 475-481, August.
    4. Sudarshan K. Dhall & C. L. Liu, 1978. "On a Real-Time Scheduling Problem," Operations Research, INFORMS, vol. 26(1), pages 127-140, February.
    5. Kreimer, Joseph & Mehrez, Abraham, 1993. "An optimal operation policy for real-time n-server stand-by systems involving preventive maintenance," European Journal of Operational Research, Elsevier, vol. 69(1), pages 50-54, August.
    6. Jean-Yves Potvin & Samy Bengio, 1996. "The Vehicle Routing Problem with Time Windows Part II: Genetic Search," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 165-172, May.
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    Cited by:

    1. Edward Ianovsky & Joseph Kreimer, 2011. "An optimal routing policy for unmanned aerial vehicles (analytical and cross-entropy simulation approach)," Annals of Operations Research, Springer, vol. 189(1), pages 215-253, September.

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