Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Cabellos, Albert"'
In the present-day, distributed applications are commonly spread across multiple datacenters, reaching out to edge and fog computing locations. The transition away from single datacenter hosting is driven by capacity constraints in datacenters and th
Externí odkaz:
http://arxiv.org/abs/2406.12567
Autor:
Serracanta, Berta, Gao, Kai, Ros-Giralt, Jordi, Rodriguez-Natal, Alberto, Contreras, Luis M., Yang, Richard, Cabellos, Albert
With the rise of a new generation of applications (e.g., virtual and augmented reality, artificial intelligence, etc) demanding stringent performance requirements, the need for networking solutions and architectures that can enable a higher Quality o
Externí odkaz:
http://arxiv.org/abs/2406.12556
In the last 15 years, the Internet architecture has continued evolving organically, introducing new headers and protocols to the classic TCP/IP stack. More specifically, we have identified two major trends. First, it is common that most communication
Externí odkaz:
http://arxiv.org/abs/2208.05420
Autor:
Rusek, Krzysztof, Boryło, Piotr, Jaglarz, Piotr, Geyer, Fabien, Cabellos, Albert, Chołda, Piotr
We propose a graph neural network (GNN)-based method to predict the distribution of penalties induced by outages in communication networks, where connections are protected by resources shared between working and backup paths. The GNN-based algorithm
Externí odkaz:
http://arxiv.org/abs/2201.12263
Autor:
Serracanta, Berta, Paillisse, Jordi, Cabellos, Albert, Claiborne, Anna, Rodriguez-Natal, Alberto, Ward, Dave, Maino, Fabio
Publikováno v:
Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration Pages 1-6
Modern cloud orchestrators like Kubernetes provide a versatile and robust way to host applications at scale. One of their key features is autoscaling, which automatically adjusts cloud resources (compute, memory, storage) in order to adapt to the dem
Externí odkaz:
http://arxiv.org/abs/2109.02967
Autor:
Paillisse, Jordi, Portoles, Marc, Lopez, Albert, Rodriguez-Natal, Alberto, Iacobacci, David, Leong, Johnson, Moreno, Victor, Cabellos, Albert, Maino, Fabio, Hooda, Sanjay
Enterprise Networks, over the years, have become more and more complex trying to keep up with new requirements that challenge traditional solutions. Just to mention one out of many possible examples, technologies such as Virtual LANs (VLANs) struggle
Externí odkaz:
http://arxiv.org/abs/2010.15236
Autor:
Paillisse, Jordi, Subira, Jordi, Lopez, Albert, Rodriguez-Natal, Alberto, Ermagan, Vina, Maino, Fabio, Cabellos, Albert
The specification and enforcement of network-wide policies in a single administrative domain is common in today's networks and considered as already resolved. However, this is not the case for multi-administrative domains, e.g. among different enterp
Externí odkaz:
http://arxiv.org/abs/1901.03568
Autor:
Paillisse, Jordi, Ferriol, Miquel, Garcia, Eric, Latif, Hamid, Piris, Carlos, Lopez, Albert, Kuerbis, Brenden, Rodriguez-Natal, Alberto, Ermagan, Vina, Maino, Fabio, Cabellos, Albert
We present IPchain, a blockchain to store the allocations and delegations of IP addresses, with the aim of easing the deployment of secure interdomain routing systems. Interdomain routing security is of vital importance to the Internet since it preve
Externí odkaz:
http://arxiv.org/abs/1805.04439
Autor:
Stampa, Giorgio, Arias, Marta, Sanchez-Charles, David, Muntes-Mulero, Victor, Cabellos, Albert
In this paper we design and evaluate a Deep-Reinforcement Learning agent that optimizes routing. Our agent adapts automatically to current traffic conditions and proposes tailored configurations that attempt to minimize the network delay. Experiments
Externí odkaz:
http://arxiv.org/abs/1709.07080
Autor:
Mestres, Albert, Rodriguez-Natal, Alberto, Carner, Josep, Barlet-Ros, Pere, Alarcón, Eduard, Solé, Marc, Muntés, Victor, Meyer, David, Barkai, Sharon, Hibbett, Mike J, Estrada, Giovani, Ma`ruf, Khaldun, Coras, Florin, Ermagan, Vina, Latapie, Hugo, Cassar, Chris, Evans, John, Maino, Fabio, Walrand, Jean, Cabellos, Albert
Publikováno v:
ACM SIGCOMM Computer Communication Review, Volume 47, Issue 3, July 2017
The research community has considered in the past the application of Artificial Intelligence (AI) techniques to control and operate networks. A notable example is the Knowledge Plane proposed by D.Clark et al. However, such techniques have not been e
Externí odkaz:
http://arxiv.org/abs/1606.06222