DMTCS Proceedings, 2005 International Conference on Analysis of Algorithms

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DMTCS Conference vol AD (2005), pp. 27-38

DMTCS

2005 International Conference on Analysis of Algorithms

Conrado Martínez (ed.)

DMTCS Conference Volume AD (2005), pp. 27-38


author: Y. Baryshnikov, E. Coffman, J. Feng and P. Momčilović
title: Asymptotic analysis of a nonlinear AIMD algorithm
keywords: AIMD analysis, congestion avoidance algorithms, fair resource allocation, differentiated service
abstract: The Additive-Increase-Multiplicative Decrease (AIMD) algorithm is an effective technique for controlling competitive access to a shared resource. Let
N
be the number of users and let
x
i
(t)
be the amount of the resource in possession of the
i
-th user. The allocations
x
i
(t)
increase linearly until the aggregate demand
Σ
i
x
i
(t)
exceeds a given nominal capacity, at which point a user is selected at a random time and its allocation reduced from
x
i
(t)
to
x
i
(t)/γ,
for some given parameter
γ>1
. In our new, generalized version of AIMD, the choice of users to have their allocations cut is determined by a selection rule whereby the probabilities of selection are proportional to
x
i
α
(t)/ Σ
j
x
j
α
, with
α
a parameter of the policy. Variations of parameters allows one to adjust fairness under AIMD (as measured for example by the variance of
x
i
(t)
) as well as to provide for differentiated service. The primary contribution here is an asymptotic, large-
N
analysis of the above nonlinear AIMD algorithm within a baseline mathematical model that leads to explicit formulas for the density function governing the allocations
x
i
(t)
in statistical equilibrium. The analysis yields explicit formulas for measures of fairness and several techniques for supplying differentiated service via AIMD.
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reference: Y. Baryshnikov and E. Coffman and J. Feng and P. Momčilović (2005), Asymptotic analysis of a nonlinear AIMD algorithm, in 2005 International Conference on Analysis of Algorithms, Conrado Martínez (ed.), Discrete Mathematics and Theoretical Computer Science Proceedings AD, pp. 27-38
bibtex: For a corresponding BibTeX entry, please consider our BibTeX-file.
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