A Topology-Based Spectrum Assignment Solution for Static Elastic Optical Networks With Ring Topologies

Jara, Nicolás; Salazar, Jesenia; Vallejos, Reinaldo

doi:10.1109/access.2020.3042445

Cited by 7 publications

(5 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several important things to consider when designing elastic optical networks, particularly the adequacy of the spectrum in each path that aims to get enough services for the entire network in the user's so-called spectrum assignment [30]. The spectrum's adequacy is directly proportional to the size or size of the topology to be used [30]. In 2020, Jara et.al., used the Spectrum Assignment rules to solve problems in the ring topology (Concentric Ring).…”

Section: F Route Distance Calculation Based On K-spmentioning

confidence: 99%

See 1 more Smart Citation

Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

Silaban,

Alaydrus,

Umaisaroh

2023

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

The Elastic Optical Networks (EON) provide a solution to the massive demand for connections and extremely high data traffic with the Routing Modulation and Spectrum Assignment (RMSA) as a challenge. In previous RMSA research, there was a high blocking probability because the route to be passed by the K-SP method with a deep neural network approach used the First Fit policy, and the modulation problem was solved with Modulation Format Identification (MFI) or BPSK using Deep Reinforcement Learning. The issue might be apparent in spectrum assignment because of the influence of Advanced Reservation (AR) and Resource Periodic Arrangement (RPA), which is a decision block on a connection request path with both idle and active data traffic. The study's limitation begins with determining the modulation of m = 1 and m = 4, followed by the placement of frequencies, namely 13 with a combination of standard block frequencies 41224-24412, so that the simulation results are less than 0.0199, due to the combination of block frequency slices with spectrum allocation rule techniques.

show abstract

Section: F Route Distance Calculation Based On K-spmentioning

confidence: 99%

“…In 2020, Jara et.al., used the Spectrum Assignment rules to solve problems in the ring topology (Concentric Ring). Spectrum allocation can be equipped with alternative routing fix routing [30], to calculate source and destination paths based on conus topology or can be seen in the formula (7) as follow [31]:…”

Section: F Route Distance Calculation Based On K-spmentioning

confidence: 99%

Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

Silaban,

Alaydrus,

Umaisaroh

2023

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

show abstract

“…However, the extensive number of variables makes these models have NP-C computational complexity [14]. Therefore, optimization models present scalability difficulties for real-size topologies [10]- [12]. For instance, in [13], the authors proposed a pure ILP model for ring network topologies computed until eight nodes.…”

Section: Relevant Workmentioning

confidence: 99%

A Bandwidth-Balanced RMLSA Solution for Static Elastic Optical Network: A Two Stages Approach

2022

Self Cite

View full text Add to dashboard Cite

This paper addresses one of the main tasks in transparent static elastic optical networks (EONs), known as the routing, modulation level, and spectrum assignment (RMLSA) problem. We present, for the first time, a two-stage RMLSA solution, focusing on reducing spectrum consumption (or network capacity). The first macro stage, called least demand bandwidth balance (LDBB), relies on a physical layer impairment (PLI) model to jointly compute the connections' route and modulation level (RML). We use a new balancing criterion that effectively distributes each network link's frequency slot unit (FSU) demands, exemplifying three different balancing functions based on the maximum number of FSUs on the links and the total number of FSUs demanded and the cost of the route. In the last macro stage, using all connections chosen paths, we perform the spectrum assignment (SA) process using two specific connections prioritization criteria. We propose two SA algorithms, called sliding-fit (SF) and parcel-fit (PF), reducing the spectrum consumption. These algorithms change the SA paradigm by searching connections for a given subset of the frequency spectrum, contrary to the search of FSUs for a given connection in standard approaches. In all cases, our solution exhibited a lower total network capacity than the commonly used strategies found in the literature, with an average network capacity reduction of 5.7 % FSUs. In addition, our proposal may be used to easily dimension network capacity and determine how many extra resources may be needed to attend to all network users.

show abstract

“…In the meantime, network topology is also an application of graph theory in which communication devices are described as nodes, and connections between them are modelled as links or lines connecting the nodes [1]. Currently, network topology research mainly lies in unstructured network topologies, which include bus [2], mesh [3] [4], star [5], ring [6], and tree [7] networks. In contrast to the prevalent network topologies, some researchers have identified less typically employed topologies that provide distinct advantages in the establishment of network architectures.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Network Performance Based on Structured Geometric Topologies

Rao,

Ponciano,

Imran

et al. 2023

2023 International Conference on Computer and Applications (ICCA)

View full text Add to dashboard Cite

At present, the research on computer network topologies rests mainly on typically unstructured networks such as mesh networks. Our study evaluates the potential use of three structured geometric network infrastructure designs, namely cross polytope (CP), hypercube (HC) and triangular pyramid (TP), based on their network performance. In this paper, we use simulation modelling to analyse structured network geometries and evaluate their network performance by Riverbed Modeler. We compare the simulation results of an unstructured network design with three structured network topologies for both timeindependent and time-dependent applications. The simulation results illustrate that the CP and TP topologies have better results than the unstructured network in response time and network delay under a high-load configuration. In addition, it can be shown that the planarised CP structure exhibits superior performance compared to the other three network designs examined. For instance, the end-to-end delay of Voice displays a value of approximately 0.15 seconds during periods of high load. The evaluation conducted in this paper holds vital importance for the configuration of topological networks in the context of constructing network infrastructure.

show abstract

A Topology-Based Spectrum Assignment Solution for Static Elastic Optical Networks With Ring Topologies

Cited by 7 publications

References 32 publications

Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

A Bandwidth-Balanced RMLSA Solution for Static Elastic Optical Network: A Two Stages Approach

Evaluation of Network Performance Based on Structured Geometric Topologies

Contact Info

Product

Resources

About