2002
DOI: 10.1017/s000186780001140x
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A Markovian analysis of additive-increase multiplicative-decrease algorithms

Abstract: The additive-increase multiplicative-decrease (AIMD) schemes designed to control congestion in communication networks are investigated from a probabilistic point of view. Functional limit theorems for a general class of Markov processes that describe these algorithms are obtained. The asymptotic behaviour of the corresponding invariant measures is described in terms of the limiting Markov processes. For some special important cases, including TCP congestion avoidance, an important autoregressive property is pr… Show more

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Cited by 51 publications
(96 citation statements)
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“…Z ¼ R 1 0 e ÀX ðtÞ dt. Such random variables appear in several applications, like mathematical finance (Z as the present value of a perpetuity [11], Asian options and COGARCH process [24]), Additive Increase Multiplicative Decrease (AIMD) algorithms [12,21], order-picking strategies in carousel systems [26], mathematical physics, and more. A recent monograph devoted to such exponential functionals is [32].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Z ¼ R 1 0 e ÀX ðtÞ dt. Such random variables appear in several applications, like mathematical finance (Z as the present value of a perpetuity [11], Asian options and COGARCH process [24]), Additive Increase Multiplicative Decrease (AIMD) algorithms [12,21], order-picking strategies in carousel systems [26], mathematical physics, and more. A recent monograph devoted to such exponential functionals is [32].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Most works considering optimization and modeling of transmission protocols disregard this dependence and assume that the loss process intensity is constant [5,6]; perhaps, only in [19] the authors investigate the asymptotic of a piecewise deterministic Markov process with state-dependent loss process under small intensity of losses. Most works considering optimization and modeling of transmission protocols disregard this dependence and assume that the loss process intensity is constant [5,6]; perhaps, only in [19] the authors investigate the asymptotic of a piecewise deterministic Markov process with state-dependent loss process under small intensity of losses.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, they are relevant to the analysis of randomized algorithms (F lajolet , 2004) and in mathematical finance (B ertoin and Y or , 2005). In D umas et al. (2002) and G uillemin et al.…”
Section: Related Research Areasmentioning
confidence: 99%
“…The functional I ( q ) has been intensively studied in the literature. Its density was obtained independently in D umas , G uillemin and R obert (2002) and B ertoin , B iane and Yor (2004), and in L itvak and A dan (2001) for q =1/2. C armona , P etit and Yor (1997) derived a density of for a large class of functions , in particular, for h ( n )= q n .…”
Section: Related Research Areasmentioning
confidence: 99%