Jayaram, K.

For distributed applications to take full advantage of cloud computing systems, we need middleware systems that allow developers to build elasticity management components right into the applications.This paper describes the design and implementation of ElasticRMI, a middleware system that (1) enables application developers to dynamically change the...

HADDOU BENDERBAL, HICHEM Benyoucef, Lyes

International audience

HADDOU BENDERBAL, HICHEM Benyoucef, Lyes

International audience

GEORGEON, Olivier L. Guillermin, Mathieu

We support Füllsack’s claim that contingency is essential in the conception of artificial constructivist agents. Linking this claim to O’Regan and Noë’s theory of sensorimotor contingencies, we argue that artificial constructivist agents should master the laws of feedback contingencies. In particular, artificial constructivist agents should process...

Vu, Trung Kien Bennis, Mehdi Debbah, Merouane Latva-Aho, Matti Hong, Choong Seon

In this letter, we investigate the problem of providing gigabit wireless access with reliable communication in 5G millimeter-wave (mmWave) massive multiple-input multiple-output networks. In contrast to the classical network design based on average metrics, we propose a distributed risk-sensitive reinforcement learning-based framework to jointly op...

Darwiche, Mostafa Raveaux, Romain Conte, Donatello T'Kindt, Vincent

In graph matching, Graph Edit Distance (GED) is a well-known distance measure for graphs and it is a NP-Hard minimization problem. Many heuristics are defined in the literature to give approximated solutions in a reasonable time. Some other work have used mathematical programming tools to come up with Mixed Integer Linear Program (MILP) models. In ...

Budhiraja, Rohan Carpentier, Justin Mansard, Nicolas

It is nowadays well-established that locomotion can be written as a large and complex optimal control problem. Yet, current knowledge in numerical solver fails to directly solve it. A common approach is to cut the dimensionality by relying on reduced models (inverted pendulum, capture points, centroidal). However it is difficult both to account for...

Budhiraja, Rohan Carpentier, Justin Mansard, Nicolas

It is nowadays well-established that locomotion can be written as a large and complex optimal control problem. Yet, current knowledge in numerical solver fails to directly solve it. A common approach is to cut the dimensionality by relying on reduced models (inverted pendulum, capture points, centroidal). However it is difficult both to account for...

Budhiraja, Rohan Carpentier, Justin Mansard, Nicolas

It is nowadays well-established that locomotion can be written as a large and complex optimal control problem. Yet, current knowledge in numerical solver fails to directly solve it. A common approach is to cut the dimensionality by relying on reduced models (inverted pendulum, capture points, centroidal). However it is difficult both to account for...

Budhiraja, Rohan Carpentier, Justin Mansard, Nicolas

It is nowadays well-established that locomotion can be written as a large and complex optimal control problem. Yet, current knowledge in numerical solver fails to directly solve it. A common approach is to cut the dimensionality by relying on reduced models (inverted pendulum, capture points, centroidal). However it is difficult both to account for...