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Fixed-Point Models for the End-to-End Performance Analysis of IP Networks

TLDR
Results are presented for an IP backbone network, which highlight how this new model finds the natural operating point for TCP, which depends on route lengths, end-to-end packet loss and the number of user sessions.
Abstract
This paper presents a new approach to modeling end-toend performance for IP networks. Unlike earlier models, in which end stations generate traffic at a constant rate, the work discussed here takes the adaptive behaviour of TCP/IP into account. The approach is based on a fixed point method which determines packet loss, link utilization and TCP throughput across the network. Results are presented for an IP backbone network, which highlight how this new model finds the natural operating point for TCP, which depends on route lengths (via round-trip times and number of resources), end-to-end packet loss and the number of user sessions.

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Journal ArticleDOI

Theories and models for Internet quality of service

TL;DR: Proposals and results in supporting performance guarantees in a best effort context include models for elastic throughput guarantees based on TCP performance modeling, techniques for some QoS differentiation without access control, and methods that allow an application to control the performance it receives, in the absence of network support.
Journal ArticleDOI

Self-similar traffic and network dynamics

TL;DR: This paper discusses some of the pitfalls associated with applying traditional performance evaluation techniques to highly-interacting, large-scale networks such as the Internet, and presents one promising approach based on chaotic maps to capture and model the dynamics of TCP-type feedback control in such networks.
Journal ArticleDOI

Fluid model for a network operating under a fair bandwidth-sharing policy

TL;DR: In this paper, the authors consider a model of Internet congestion control that represents the randomly varying number of flows present in a network where bandwidth is shared fairly between document transfers and establish convergence to equilibria for fluid models.
Journal ArticleDOI

State space collapse and diffusion approximation for a network operating under a fair bandwidth sharing policy

TL;DR: A connection-level model of Internet congestion control that represents the randomly varying number of flows present in a network is considered and a property called multiplicative state space collapse is derived, which shows that in diffusion scale, the flow count process for the stochastic model can be approximately recovered as a continuous lifting of the workload process.
Journal ArticleDOI

A survey on statistical bandwidth sharing

TL;DR: A survey of recent results on the performance of a network handling elastic data traffic under the assumption that flows are generated as a random process highlights the insensitivity results allowing a relatively simple expression of performance when bandwidth sharing realizes so-called "balanced fairness".
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.
Journal ArticleDOI

On the self-similar nature of Ethernet traffic (extended version)

TL;DR: It is demonstrated that Ethernet LAN traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal-like behavior, and that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based networks.
Journal ArticleDOI

Wide area traffic: the failure of Poisson modeling

TL;DR: It is found that user-initiated TCP session arrivals, such as remote-login and file-transfer, are well-modeled as Poisson processes with fixed hourly rates, but that other connection arrivals deviate considerably from Poisson.
Proceedings ArticleDOI

Modeling TCP throughput: a simple model and its empirical validation

TL;DR: In this article, the authors developed a simple analytic characterization of the steady state throughput, as a function of loss rate and round trip time for a bulk transfer TCP flow, i.e., a flow with an unlimited amount of data to send.

Definition of the Differentiated Services Field (DS Field) in the IPv4 and IPv6 Headers

TL;DR: Differentiated services enhancements to the Internet protocol are intended to enable scalable service discrimination in the Internet without the need for per-flow state and signaling at every hop.
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