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Dynamic routing of real-time jobs among parallel EDF queues: A performance study

Kargahi, M ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1016/j.compeleceng.2008.04.004
  3. Publisher: 2010
  4. Abstract:
  5. This paper introduces an analytical method for approximating the performance of a firm real-time system consisting of a number of parallel infinite-capacity single-server queues. The service discipline for the individual queues is earliest-deadline-first (EDF). Real-time jobs with exponentially distributed relative deadlines arrive according to a Poisson process. Jobs either all have deadlines until the beginning of service or deadlines until the end of service. Upon arrival, a job joins a queue according to a state-dependent stationary policy, where the state of the system is the number of jobs in each queue. Migration among the queues is not allowed. An important performance measure to consider is the overall loss probability of the system. The system is approximated by a Markovian model in the long run. The resulting model can then be solved analytically using standard Markovian solution techniques. Comparing numerical and simulation results for at least three different stationary policies, we find that the existing errors are relatively small
  6. Keywords:
  7. Approximation methods ; Earliest-deadline-first (EDF) scheduling algorithm ; Firm real-time systems ; Analytical method ; Approximation methods ; Dynamic routing ; Dynamic routing policies ; Earliest deadline first ; Earliest-deadline-first scheduling algorithms ; Loss probability ; Markovian ; Markovian model ; Performance analysis ; Performance measure ; Performance study ; Poisson process ; Simulation result ; Single server queue ; Solution techniques ; State-dependent ; Stationary policy ; Approximation algorithms ; Approximation theory ; Industry ; Markov processes ; Poisson distribution ; Queueing theory ; Response time (computer systems) ; Scheduling algorithms ; Real time systems
  8. Source: Computers and Electrical Engineering ; Volume 36, Issue 5 , 2010 , Pages 835-849 ; 00457906 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0045790608000426