Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Danilo Borquez-Paredes"'
Autor:
Patricia Morales, Astrid Lozada, Danilo Borquez-Paredes, Ricardo Olivares, Gabriel Saavedra, Ariel Leiva, Alejandra Beghelli, Nicolas Jara
Publikováno v:
IEEE Access, Vol 9, Pp 63475-63490 (2021)
This paper studies the impact of demand-prioritization on Space-Division Multiplexing Elastic Optical Networks (SDM-EON). For this purpose, we solve the static Routing, Modulation Level, Spatial Mode, and Spectrum Assignment (RMLSSA) problem using 34
Externí odkaz:
https://doaj.org/article/5f29756405134abe83194064eb9cbbdd
Autor:
Astrid Lozada, Felipe Calderon, Jose Nunez Kasaneva, Danilo Borquez-Paredes, Ricardo Olivares, Alejandra Beghelli, Nicolas Jara, Ariel Leiva, Gabriel Saavedra
Publikováno v:
IEEE Access, Vol 9, Pp 134355-134368 (2021)
This paper studies the physical layer’s impact on the blocking probability and energy consumption of wide-area dynamic elastic optical networks (EONs). For this purpose, we consider five network configurations, each named with a network configurati
Externí odkaz:
https://doaj.org/article/169661f241f74ce09abfbc61a0fff9c8
Autor:
Felipe Ignacio Calderon, Astrid Lozada, Danilo Borquez-Paredes, Ricardo Olivares, Enrique Javier Davalos, Gabriel Saavedra, Nicolas Jara, Ariel Leiva
Publikováno v:
IEEE Access, Vol 8, Pp 128018-128031 (2020)
Wide-area optical networks face significant transmission challenges due to the relentless growth of bandwidth demands experienced nowadays. Network operators must consider the relationship between modulation format and maximum reach for each connecti
Externí odkaz:
https://doaj.org/article/732562982d314cf2b448537f857141c2
Autor:
Danilo Borquez-Paredes, Nicolas Jara, Alejandra Beghelli, Astrid Lozada, Ricardo Olivares, Ariel Leiva, Gabriel Saavedra, Patricia Morales
Publikováno v:
IEEE Access, Vol 9, Pp 63475-63490 (2021)
This paper studies the impact of demand-prioritization on Space-Division Multiplexing Elastic Optical Networks (SDM-EON). For this purpose, we solve the static Routing, Modulation Level, Spatial Mode, and Spectrum Assignment (RMLSSA) problem using 34
Autor:
Ariel Leiva, Ricardo Olivares, Danilo Borquez-Paredes, Gabriel Saavedra, Nicolas Jara, Felipe Calderon, Astrid Lozada, Enrique Davalos
Publikováno v:
IEEE Access, Vol 8, Pp 128018-128031 (2020)
Wide-area optical networks face significant transmission challenges due to the relentless growth of bandwidth demands experienced nowadays. Network operators must consider the relationship between modulation format and maximum reach for each connecti
Autor:
Ariel Leiva, Danilo Borquez-Paredes, Gabriel Saavedra, Ricardo Olivares, Nicolas Jara, Felipe Calderon, Astrid Lozada
Publikováno v:
ICTON
Signal re-amplification, re-shaping, and re-timing (3R) opto-electronic regeneration is a crucial function to scale elastic optical networks. These devices are especially important on large-scale optical networks, enabling long-distance communication
Publikováno v:
Photonic Network Communications. 35:287-299
Most spectrum allocation algorithms in elastic optical networks apply a greedy approach: A new connection is allocated as long as there are enough spectrum slots to accommodate it. Recently, a different approach was proposed. Named Deadlock–Avoidan
Publikováno v:
Optical Fiber and Wireless Communications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eed7c504f8ac50477d7f82d029594698
http://www.intechopen.com/articles/show/title/network-virtualization-over-elastic-optical-networks-a-survey-of-allocation-algorithms
http://www.intechopen.com/articles/show/title/network-virtualization-over-elastic-optical-networks-a-survey-of-allocation-algorithms
Publikováno v:
Latin America Optics and Photonics Conference.
Network virtualization and elastic networks have emerged as a paradigm for cloud computing and a solution to the ever increasing traffic, respectively. We review virtual network allocation algorithms over elastic networks and identify open research i
Autor:
Juan Pinto-Ríos, Felipe Calderón, Ariel Leiva, Gabriel Hermosilla, Alejandra Beghelli, Danilo Bórquez-Paredes, Astrid Lozada, Nicolás Jara, Ricardo Olivares, Gabriel Saavedra
Publikováno v:
Complexity, Vol 2023 (2023)
A deep reinforcement learning (DRL) approach is applied, for the first time, to solve the routing, modulation, spectrum, and core allocation (RMSCA) problem in dynamic multicore fiber elastic optical networks (MCF-EONs). To do so, a new environment w
Externí odkaz:
https://doaj.org/article/8b94af73f8c64f4cb2601af89a12c631