The possibility of flexibly assigning spectrum resources with channels of different sizes greatly improves the spectral efficiency of optical networks. The drawback of this flexibility is the risk of spectrum fragmentation. We study this problem in the two-service scenario. Our first contribution consists of exact Markov models for different assignment policies. Since these exact models do not scale to large systems, we then extend an approximate, reduced-state model that is available in the literature. In addition, we introduce a Markov model that uses imprecise probabilities, which allows us to derive upper and lowerboundsonblockingprobabilitieswithoutneedingtospecify an assignment policy. The obtained imprecise Markov chain can be used to evaluate the precision of approximate reduced-state models as well as to provide policy-free performance bounds.

Modelling spectrum assignment in a two-service flexi-grid optical link with imprecise continuous-time Markov chains / Rottondi, C.; Erreygers, A.; Verticale, G.; De, Bock. - STAMPA. - (2017), pp. 39-46. ((Intervento presentato al convegno DRCN 2017 - 13th International Conference on Design of Reliable Communication Networks tenutosi a Munich (DE) nel 8-10 March 2017.

Modelling spectrum assignment in a two-service flexi-grid optical link with imprecise continuous-time Markov chains

Rottondi C.;
2017

Abstract

The possibility of flexibly assigning spectrum resources with channels of different sizes greatly improves the spectral efficiency of optical networks. The drawback of this flexibility is the risk of spectrum fragmentation. We study this problem in the two-service scenario. Our first contribution consists of exact Markov models for different assignment policies. Since these exact models do not scale to large systems, we then extend an approximate, reduced-state model that is available in the literature. In addition, we introduce a Markov model that uses imprecise probabilities, which allows us to derive upper and lowerboundsonblockingprobabilitieswithoutneedingtospecify an assignment policy. The obtained imprecise Markov chain can be used to evaluate the precision of approximate reduced-state models as well as to provide policy-free performance bounds.
978-3-8007-4383-4
File in questo prodotto:
File Dimensione Formato  
drcn2017.pdf

non disponibili

Descrizione: articolo principale
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 192.4 kB
Formato Adobe PDF
192.4 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2722695
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo