Danilo Bórquez-Paredes

Universidad Adolfo Ibáñez · Facultad de Ingeniería y Ciencias

The benefits from geometrical constellation shaping (GCS) are explored in a dynamic elastic optical network context. Using simulations, we evaluate the blocking performance of different forward error correction schemes and modulation formats over the NSFTNET and EUROCORE network topologies. Results show that GCS leads to a selection of denser modul...

Adopting multiband transmission in optical networks can cost-effectively increase network capacity without deploying new fibre. In this paper, we focus on the solutions explored by the research community to address the problem of resource allocation in dynamic multiband elastic optical networks. We start by summarising the main challenges and contr...

The funa is a prevalent concept in Chile that aims to expose a person's bad behavior, punish the aggressor publicly, and warn the community about it. Despite its massive use on the social networks of Chilean society, the real dissemination of funas among communities is unknown. In this paper, we extract, generate, analyze, and compare the Twitter s...

A deep reinforcement learning (DRL) approach is applied, for the frst time, to solve the routing, modulation, spectrum, and core allocation (RMSCA) problem in dynamic multicore fber elastic optical networks (MCF-EONs). To do so, a new environment was designed and implemented to emulate the operation of MCF-EONs-taking into account the modulation fo...

It is well-known that creating Space Division Multiplexing-Elastic Optical Networks (SDM-EON) allocation algorithms can be challenging, especially without the right tools. This paper presents the development of a module of an event-oriented simulator designed to code C++ allocation algorithms in the context of Space Division Multiplexing-Elastic Op...

Network virtualization is a key enabling technology for “Infrastructure as a Service” provisioning, increasing the flexibility and cost savings offered to customers. By extending the concept of server virtualization to the network infrastructure, the allocation of different, independent virtual networks over a single physical network is carried out...

A deep reinforcement learning 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 - compatible with OpenAI's Gym - was designed and implemented to emulate the operation of MCF-EONs. The new...

We study the blocking performance of dynamic resource allocation strategies in ultrawideband elastic optical networks under different topologies. State-of-the-art heuristics are evaluated on four different network topologies. Results show consistent better performance of heuristics that prioritise allocation based on the connections bitrate.

Multi-band elastic optical networks are a promising alternative to meet the bandwidth demand of the ever-growing Internet traffic. In this letter, we propose a family of band allocation algorithms for multi-band elastic optical networks. Employing simulation, we evaluate the blocking performance of 3 algorithms of such a family and compare their pe...

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 configuration identifier (NCI) from 1 to 5, for which the Routing, Modulation Level, and Spectrum Assignment (RML...

A common problem in elastic optical networks is to study the behavior of different resources allocation algorithms, such as signal modulation formats or quality of service, in optical networks in dynamic scenarios where connections are assigned and released following different traffic profiles. To achieve this, one of the busiest tools is simulator...

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 different explainable demand-prioritization strategies. Although previous works have applied heuris...

We make a first-fit algorithm and we test it with 10 different load traffics. We must use the library ubicated in https://daniloborquez.gitlab.io/flex-net-sim/simulator.hpp

Signal re-amplification, reshaping , 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 communications. In this work, we analyze the impact of these devices on the quality of service in wide-area optic...

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 connection request due to the accumulation of physical layer impairments in optical fiber links, to guarante...

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–Avoidance (DA), it only establishes a new connection if the portion of spectrum left after allocating it is z...

Network virtualization has emerged as a paradigm for cloud computing services by providing key functionalities such as abstraction of network resources kept hidden to the cloud service user, isolation of different cloud computing applications, flexibility in terms of resources granularity, and on‐demand setup/teardown of service. In parallel, flex‐...

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 issues.

Greedy spectrum allocation algorithms assign the required number of slots to a connection request as long as there are enough contiguous slots available for it. Instead, a deadlock-avoidance algorithm only assigns slots if future connections can be fit in the spectrum void left after assigning the current connection. That is, a deadlock-avoidance a...