Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Comte Céline"'
In this paper, we introduce a policy-gradient method for model-based reinforcement learning (RL) that exploits a type of stationary distributions commonly obtained from Markov decision processes (MDPs) in stochastic networks, queueing systems, and st
Externí odkaz:
http://arxiv.org/abs/2312.02804
Autor:
Comte Céline, Bellenger Sandrine, Bellenger Jérôme, Merlin Jean-François, Tessier Christian, Poisson Jean-Pierre, Narce Michel
Publikováno v:
Oléagineux, Corps gras, Lipides, Vol 10, Iss 4, Pp 321-327 (2003)
Nous avons étudié les effets de l’association des pathologies hypertensive et diabétiques sur la conversion des acides linoléique et alpha-linolénique en acides gras plus longs et plus insaturés. Pour cela, nous avons mis en place deux modèl
Externí odkaz:
https://doaj.org/article/0deaee9749bf4901832ed2112df2a7e2
Autor:
Comte, Céline, Dorsman, Jan-Pieter
Publikováno v:
Performance Engineering and Stochastic Modeling, page 425 to 440. Lecture Notes in Computer Science. Springer International Publishing, 2021
We consider a stochastic bipartite matching model consisting of multi-class customers and multi-class servers. Compatibility constraints between the customer and server classes are described by a bipartite graph. Each time slot, exactly one customer
Externí odkaz:
http://arxiv.org/abs/2201.03982
The stochastic dynamic matching problem has recently drawn attention in the stochastic-modeling community due to its numerous applications, ranging from supply-chain management to kidney exchange programs. In this paper, we consider a matching proble
Externí odkaz:
http://arxiv.org/abs/2112.14457
Autor:
van der Boor, Mark, Comte, Céline
Publikováno v:
2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), Jun 2021, Tokyo, Japan. pp.1-10
Efficiently exploiting servers in data centers requires performance analysis methods that account not only for the stochastic nature of demand but also for server heterogeneity. Although several recent works proved optimality results for heterogeneit
Externí odkaz:
http://arxiv.org/abs/2109.00868
Autor:
Comte, Céline
Publikováno v:
Stochastic Models (2021)
The problem of appropriately matching items subject to compatibility constraints arises in a number of important applications. While most of the literature on matching theory focuses on a static setting with a fixed number of items, several recent wo
Externí odkaz:
http://arxiv.org/abs/2012.00851
Autor:
Comte, Céline, Dorsman, Jan-Pieter
Order-independent (OI) queues, introduced by Berezner, Kriel, and Krzesinski in 1995, expanded the family of multi-class queues that are known to have a product-form stationary distribution by allowing for intricate class-dependent service rates. Thi
Externí odkaz:
http://arxiv.org/abs/2009.12299
Publikováno v:
NetCal 2018, Sep 2018, Vienne, Austria
Stochastic network calculus is a tool for computing error bounds on the performance of queueing systems. However, deriving accurate bounds for networks consisting of several queues or subject to non-independent traffic inputs is challenging. In this
Externí odkaz:
http://arxiv.org/abs/1810.04875
Autor:
Comte, Céline
Publikováno v:
2018 IFIP Networking Conference (IFIP Networking) and Workshops
Efficiently exploiting the resources of data centers is a complex task that requires efficient and reliable load balancing and resource allocation algorithms. The former are in charge of assigning jobs to servers upon their arrival in the system, whi
Externí odkaz:
http://arxiv.org/abs/1804.01783
Publikováno v:
Proceedings of the ACM on Measurement and Analysis of Computing Systems , ACM, 2017, 1 (2), pp.1-25. \&\#x27E8;10.1145/3154500\&\#x27E9
Understanding the performance of a pool of servers is crucial for proper dimensioning. One of the main challenges is to take into account the complex interactions between servers that are pooled to process jobs. In particular, a job can generally not
Externí odkaz:
http://arxiv.org/abs/1711.02880