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Boudewijn Haverkort

Boudewijn Haverkort
Tilburg University

Performance Evaluation: Model or Problem Driven?

Aug. 24, 2021, 15:45-16:45

Going back as far as the mid 1960’s, a variety of performance evaluation techniques have been proposed and used to help solve design and dimensioning questions for computer systems and networks. In the 1970’s a number of workshops on the topic of computer performance evaluation started to emerge, that over the years evolved into successful conference series that last until today. Performance Evaluation has been a well-acclaimed journal since the beginning of the 1980’s. However, some researchers also claim that the field of performance evaluation has developed too much independently from the development of the systems it intends to evaluate, leading to a fairly isolated sub-discipline that not always addresses the questions that really are important. In the first part of my talk I address this claim, which I consider to be true to a large extend, try to analyse why the field has evolved in this way, and do a number of suggestions for overcoming this isolation. In the second part of my talk, I will touch upon a number a recent modelling efforts I have been involved in myself, in which we have tried to be problem-driven, rather than model-driven.

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François Baccelli

François Baccelli
INRIA and UT Austin

Stochastic Geometry based Performance Analysis of Wireless Networks

Aug. 25, 2021, 15:45-16:45

Stochastic Geometry is commonly used for analyzing spectrum sharing in large wireless networks. In this approach, network elements, such as users and base stations, are represented as point processes in the Euclidean plane, and interference fields as spatial shot-noise processes. The analytical machinery of stochastic geometry and basic formulas of information theory can then be combined to predict important spatial statistics of such networks. The talk will first exemplify this approach by showing how to derive the distribution of the Shannon rates obtained by users in two fundamental models, the Poisson dipole model, which is a mathematical abstraction for a large device to device network, and the Poisson-Voronoi model which is an abstraction for a large cellular network. A few variants of these now classical models will be also discussed, like multi-tier cellular networks, or networks leveraging beam-forming. The talk will then exemplify how to introduce birth-and-death type dynamics in this stochastic geometry framework. This will be illustrated through recent results on the simplest model in this class. In this model, users arrive according to a Poisson rain process on the Euclidean plane and leave with a stochastic intensity proportional to their instantaneous Shannon rate.

Aug 2021
Proceedings online
Jul 2021
Program online
Apr 2021
Deadline extension
Feb 2021
Speakers announced
Dec 2020
PC announced
Nov 2020
Website online

Alessandro Abate
Andrea Marin

General Chair
Benoît Barbot