MPLS traffic engineering (TE) allows the creation of end-to-end paths across the network with bandwidth reservations. The main drawback of the basic MPLS-TE model is that it operates at an aggregate level and so it is unaware of traffic classes. DiffServ-aware MPLS-TE (DS-TE) refines the MPLS-TE model by allowing bandwidth reservations to be carried out on a per-class basis. The result is the ability to give strict QoS guarantees while optimizing the use of network resources. Bandwidth constraints models play a key role in the DS-TE architecture, since they establish how bandwidth is distributed among different classes. In this paper, we first present a new bandwidth constraints model, called G-RDM. Then, we compare the performance of G-RDM with respect to MAM and RDM in different scenarios by means of an analytical model based on Markov-chains. The results show that G-RDM, joining the best features of MAM and RDM, allows to improve their performance
G-RDM: a New Bandwidth Constraints Model for DS-TE networks
ADAMI, DAVIDE;CALLEGARI, CHRISTIAN;GIORDANO, STEFANO;PAGANO, MICHELE;
2007-01-01
Abstract
MPLS traffic engineering (TE) allows the creation of end-to-end paths across the network with bandwidth reservations. The main drawback of the basic MPLS-TE model is that it operates at an aggregate level and so it is unaware of traffic classes. DiffServ-aware MPLS-TE (DS-TE) refines the MPLS-TE model by allowing bandwidth reservations to be carried out on a per-class basis. The result is the ability to give strict QoS guarantees while optimizing the use of network resources. Bandwidth constraints models play a key role in the DS-TE architecture, since they establish how bandwidth is distributed among different classes. In this paper, we first present a new bandwidth constraints model, called G-RDM. Then, we compare the performance of G-RDM with respect to MAM and RDM in different scenarios by means of an analytical model based on Markov-chains. The results show that G-RDM, joining the best features of MAM and RDM, allows to improve their performanceI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
