Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Martin, Sébastien"'
In backbone networks, it is fundamental to quickly protect traffic against any unexpected event, such as failures or congestions, which may impact Quality of Service (QoS). Standard solutions based on Segment Routing (SR), such as Topology-Independen
Externí odkaz:
http://arxiv.org/abs/2404.19314
Flexibility is a cornerstone of operations management, crucial to hedge stochasticity in product demands, service requirements, and resource allocation. In two-sided platforms, flexibility is also two-sided and can be viewed as the compatibility of a
Externí odkaz:
http://arxiv.org/abs/2404.04709
Autor:
Martin, Sébastien, Maeder, Muriel Nirina, Gonçalves, Ana Rita, Pedrazzini, Baptiste, Perdrix, Jean, Rochat, Carine, Senn, Nicolas, Mueller, Yolanda
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 3, p e17242 (2020)
BackgroundA better understanding of the influenza epidemiology among primary care workers could guide future recommendations to prevent transmission in primary care practices. Therefore, we designed a pilot study to assess the feasibility of using a
Externí odkaz:
https://doaj.org/article/71ef745a2f90432a9309b677ddf83c77
Multi-topology routing (MTR) provides an attractive alternative to segment routing for traffic engineering when network devices cannot be upgraded. However, due to a high overhead in terms of link state messages exchanged by topologies and the need t
Externí odkaz:
http://arxiv.org/abs/2401.04226
Autor:
Azagirre, Xabi, Balwally, Akshay, Candeli, Guillaume, Chamandy, Nicholas, Han, Benjamin, King, Alona, Lee, Hyungjun, Loncaric, Martin, Martin, Sebastien, Narasiman, Vijay, Zhiwei, Qin, Richard, Baptiste, Smoot, Sara, Taylor, Sean, van Ryzin, Garrett, Wu, Di, Yu, Fei, Zamoshchin, Alex
To better match drivers to riders in our ridesharing application, we revised Lyft's core matching algorithm. We use a novel online reinforcement learning approach that estimates the future earnings of drivers in real time and use this information to
Externí odkaz:
http://arxiv.org/abs/2310.13810
When working with generative artificial intelligence (AI), users may see productivity gains, but the AI-generated content may not match their preferences exactly. To study this effect, we introduce a Bayesian framework in which heterogeneous users ch
Externí odkaz:
http://arxiv.org/abs/2309.10448
Nowadays, centralized Path Computation Elements (PCE) integrate control plane algorithms to optimize routing and load-balancing continuously. When a link fails, the traffic load is automatically transferred to the remaining paths according to the con
Externí odkaz:
http://arxiv.org/abs/2301.03645
With 5G networking, deterministic guarantees are emerging as a key enabler. In this context, we present a scalable Damper-based architecture for Large-scale Deterministic IP Networks (D-LDN) that meets required bounds on end-to-end delay and jitter.
Externí odkaz:
http://arxiv.org/abs/2209.12052
Autor:
Martin, Sebastien
Electrical impedance tomography (EIT) is a promising technique for biomedical imaging. The strength of EIT is its ability to reconstruct images of the body's internal structures through radiation-safe techniques. EIT is regarded as safe for patients'
Externí odkaz:
http://arxiv.org/abs/2204.05201