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Impact of fairness on Internet performance

Thomas Bonald, +1 more
- Vol. 29, Iss: 1, pp 82-91
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TLDR
It is proved that for a broad class of fair bandwidth allocations, the total number of flows in progress remains finite if the load of every link is less than one.
Abstract
We discuss the relevance of fairness as a design objective for congestion control mechanisms in the Internet. Specifically, we consider a backbone network shared by a dynamic number of short-lived flows, and study the impact of bandwidth sharing on network performance. In particular, we prove that for a broad class of fair bandwidth allocations, the total number of flows in progress remains finite if the load of every link is less than one. We also show that provided the bandwidth allocation is "sufficiently" fair, performance is optimal in the sense that the throughput of the flows is mainly determined by their access rate. Neither property is guaranteed with unfair bandwidth allocations, when priority is given to one class of flow with respect to another. This suggests current proposals for a differentiated services Internet may lead to suboptimal utilization of network resources.

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Submitted on 11 Feb 2016
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Impact of Fairness on Internet Performance
Thomas Bonald, Laurent Massoulié
To cite this version:
Thomas Bonald, Laurent Massoulié. Impact of Fairness on Internet Performance. ACM Sigmetrics /
Performance, 2001, Cambridge, United States. �hal-01272522�

Impact of Fairness on Internet Performance
Thomas Bonald
France Telecom R&D
thomas.bonald@francetelecom.com
Laurent Massouli´e
Microsoft Research
lmassoul@microsoft.com
ABSTRACT
1. INTRODUCTION

2. BANDWIDTH SHARING
2.1 Pareto-efficiency
2.2 Max-min fairness
2.3 Mean throughput criteria
2.4 A general criterion

Example 1 (Linear network).
Example 2 (Cyclic network).
Example 3 (Grid network).

3. STABILITY CONDITIONS
3.1 Unfairness and instability
Example 1 (Maximum throughput).
Example 2 (Class-based queuing).
Example 3 (Priority queuing).

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References
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Book

Data networks

TL;DR: Undergraduate and graduate classes in computer networks and wireless communications; undergraduate classes in discrete mathematics, data structures, operating systems and programming languages.

An Architecture for Differentiated Service

TL;DR: An architecture for implementing scalable service differentiation in the Internet achieves scalability by aggregating traffic classification state which is conveyed by means of IP-layer packet marking using the DS field [DSFIELD].
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TL;DR: This paper analyses the stability and fairness of two classes of rate control algorithm for communication networks, which provide natural generalisations to large-scale networks of simple additive increase/multiplicative decrease schemes, and are shown to be stable about a system optimum characterised by a proportional fairness criterion.
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