Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks

We propose in this paper two heuristic strategies to solve the regenerator placement problem (RPP) in translucent networks under dynamic traffic. The heuristics are based on both the forecast of the offered load and estimates of blocking probabilities in the network nodes. The proposed heuristics ar...

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Main Authors: Andre L. S. de Farias, Raul C. Almeida, Daniel A. R. Chaves
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/9/4388
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author Andre L. S. de Farias
Raul C. Almeida
Daniel A. R. Chaves
author_facet Andre L. S. de Farias
Raul C. Almeida
Daniel A. R. Chaves
author_sort Andre L. S. de Farias
collection DOAJ
description We propose in this paper two heuristic strategies to solve the regenerator placement problem (RPP) in translucent networks under dynamic traffic. The heuristics are based on both the forecast of the offered load and estimates of blocking probabilities in the network nodes. The proposed heuristics are compared to other regenerator placement algorithms from the literature in two different topologies. The results show that one of the proposed algorithms outperforms, in the investigated scenarios, all other algorithms from the literature considered for comparison purposes in this paper, whereas the second proposed algorithm outperforms the algorithms from the literature only in some considered scenarios.
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spelling doaj.art-f3a024a88ed04cddb5b12481faf10f122023-11-23T07:48:20ZengMDPI AGApplied Sciences2076-34172022-04-01129438810.3390/app12094388Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical NetworksAndre L. S. de Farias0Raul C. Almeida1Daniel A. R. Chaves2Computer Engineering Department, Polytechnic School of Pernambuco, University of Pernambuco, Recife 50740-540, PE, BrazilDepartment of Electronics and Systems, Federal University of Pernambuco, Recife 50740-540, PE, BrazilComputer Engineering Department, Polytechnic School of Pernambuco, University of Pernambuco, Recife 50740-540, PE, BrazilWe propose in this paper two heuristic strategies to solve the regenerator placement problem (RPP) in translucent networks under dynamic traffic. The heuristics are based on both the forecast of the offered load and estimates of blocking probabilities in the network nodes. The proposed heuristics are compared to other regenerator placement algorithms from the literature in two different topologies. The results show that one of the proposed algorithms outperforms, in the investigated scenarios, all other algorithms from the literature considered for comparison purposes in this paper, whereas the second proposed algorithm outperforms the algorithms from the literature only in some considered scenarios.https://www.mdpi.com/2076-3417/12/9/4388translucent optical networksregenerator placementdynamic trafficheuristicsnetwork designsparse regeneration
spellingShingle Andre L. S. de Farias
Raul C. Almeida
Daniel A. R. Chaves
Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks
Applied Sciences
translucent optical networks
regenerator placement
dynamic traffic
heuristics
network design
sparse regeneration
title Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks
title_full Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks
title_fullStr Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks
title_full_unstemmed Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks
title_short Traffic-Based Heuristics for Regenerator Placement in Translucent Dynamic Optical Networks
title_sort traffic based heuristics for regenerator placement in translucent dynamic optical networks
topic translucent optical networks
regenerator placement
dynamic traffic
heuristics
network design
sparse regeneration
url https://www.mdpi.com/2076-3417/12/9/4388
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