This rapport describes a performance test suite(benchmark) for JMX the Java Management eXtention the Java framework dedicated to Java applications and services management. This suite mainly target scale factors for JMX agents. The injection scenarios (workloads) are synthetic, they do not try to perfectly mimic a real management traffic. The test suite includes: -a system under test (a configurable set of configurable MBeans); -some loads injectors ; -scripts to start tests and collect measures ; -scripts for a post-mortem analysis of measures. This work has been supported by a French Amarillo RNRT's project grant (http://www.telecom.gouv.fr/rnrt/rnrt/projets_anglais/amarillo.htm)
This paper presents a matching method which is based on invariants of the luminance function. This m...
The lowest static reduction (LSR) is the 0^th-order Control-Flow Analysis without continuation passi...
We describe two problem-specific approaches to remove geometric degeneracies that we call {\it pertu...
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International audienceA number of methods have been proposed in the recent years to perform the nume...
This paper introduces a three-dimensional mesh generation algorithm for domains bounded by smooth su...
The lowest static reduction (LSR) is the 0^th-order Control-Flow Analysis without continuation passi...
In the paper we consider the elasticity equations in nonsmooth domains in $R^n, n=2,3$. The domains ...
We consider the planar motion of a car-like robot with a bounded derivative of the curvature, with g...
In this work, we present a fundamentally new approach to visual servoing using lines. It is based on...
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this report, we pr...
In this paper, we begin by recalling an adaptive mesh generation method governed by isotropic and an...
Nous présentons des algorithmes géométriques permettant de calculer différents types d'espaces de tr...
Bekel H, Bax I, Heidemann G, Ritter H. Adaptive Computer Vision: Online Learning for Object Recognit...
This paper presents a matching method which is based on invariants of the luminance function. This m...
The lowest static reduction (LSR) is the 0^th-order Control-Flow Analysis without continuation passi...
We describe two problem-specific approaches to remove geometric degeneracies that we call {\it pertu...
Nous présentons des algorithmes géométriques permettant de calculer différents types d'espaces de tr...
Stage Magistère 1ière Année. Rapport de stage.Le but de ce stage est d'apporter une généralisation d...
International audienceA number of methods have been proposed in the recent years to perform the nume...
This paper introduces a three-dimensional mesh generation algorithm for domains bounded by smooth su...
The lowest static reduction (LSR) is the 0^th-order Control-Flow Analysis without continuation passi...
In the paper we consider the elasticity equations in nonsmooth domains in $R^n, n=2,3$. The domains ...
We consider the planar motion of a car-like robot with a bounded derivative of the curvature, with g...
In this work, we present a fundamentally new approach to visual servoing using lines. It is based on...
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this report, we pr...
In this paper, we begin by recalling an adaptive mesh generation method governed by isotropic and an...
Nous présentons des algorithmes géométriques permettant de calculer différents types d'espaces de tr...
Bekel H, Bax I, Heidemann G, Ritter H. Adaptive Computer Vision: Online Learning for Object Recognit...
This paper presents a matching method which is based on invariants of the luminance function. This m...
The lowest static reduction (LSR) is the 0^th-order Control-Flow Analysis without continuation passi...
We describe two problem-specific approaches to remove geometric degeneracies that we call {\it pertu...