2009
DOI: 10.1016/j.comcom.2008.11.022
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Closed-form analysis of end-to-end network delay with Markov-modulated Poisson and fluid traffic

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Cited by 12 publications
(11 citation statements)
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“…Solving for the feedback gains K i , i = 1, ..., n in Theorem 1 involves nonlinear terms, e. g. P T 2 BK i and P T 3 BK i in (16). These nonlinear terms render the inequality in (16) into a bilinear matrix inequality (BMI) problem, whose solutions are difficult to find as it is non-convex and NPhard.…”
Section: Controller Designmentioning
confidence: 98%
See 1 more Smart Citation
“…Solving for the feedback gains K i , i = 1, ..., n in Theorem 1 involves nonlinear terms, e. g. P T 2 BK i and P T 3 BK i in (16). These nonlinear terms render the inequality in (16) into a bilinear matrix inequality (BMI) problem, whose solutions are difficult to find as it is non-convex and NPhard.…”
Section: Controller Designmentioning
confidence: 98%
“…For communication time-delay i. i. d. processes or Markov processes are popular models in the communication community [16]. The choice largely depends on the communication protocol and concurrent traffic characteristics.…”
mentioning
confidence: 99%
“…Refinements of a leftover characterization with service curves that account for specific scheduling algorithms have been considered before [8], [16], [21], however, with the exception of FIFO [8], the accuracy of the characterizations has not been established. An application of the blind multiplexing analysis of [6] to FIFO networks in [12] has concluded that the delay bounds for Markov-modulated arrivals can be very pessimistic.…”
Section: Introductionmentioning
confidence: 99%
“…Refinements of a leftover characterization with service curves that account for specific scheduling algorithms have been considered before [8], [16], [20], however, with the exception of FIFO [8], the accuracy of the characterizations has not been accounted for. An application of the blind multiplexing analysis of [6] to FIFO networks in [12] has concluded that the delay bounds for Markov-modulated arrivals can be very pessimistic.…”
Section: Introductionmentioning
confidence: 99%