This article describes the impact of a cognitive transport and resource management paradigm on the convergence of application and network services in next-generation networks. This is achieved by a new transport service layer implementing the functions needed by applications to automatically negotiate the network transport services. A testbed built on widely available technologies is described, presenting and discussing experiments that demonstrate the feasibility and advantages of a network infrastructure equipped with the proposed transport service layer. Two case studies are considered here with reference to the scenario of a user wishing to access a video service. The former is a traditional videoon- demand service, based on dynamic bandwidth allocation; the latter considers a "cloud-based" video-on-demand service, in which the video content is dynamically moved where user location and resource availability require.
F. Callegati, W. Cerroni, A. Campi (2012). Application scenarios for cognitive transport service in next-generation networks. IEEE COMMUNICATIONS MAGAZINE, 50(3), 62-69 [10.1109/MCOM.2012.6163583].
Application scenarios for cognitive transport service in next-generation networks
CALLEGATI, FRANCO;CERRONI, WALTER;CAMPI, ALDO
2012
Abstract
This article describes the impact of a cognitive transport and resource management paradigm on the convergence of application and network services in next-generation networks. This is achieved by a new transport service layer implementing the functions needed by applications to automatically negotiate the network transport services. A testbed built on widely available technologies is described, presenting and discussing experiments that demonstrate the feasibility and advantages of a network infrastructure equipped with the proposed transport service layer. Two case studies are considered here with reference to the scenario of a user wishing to access a video service. The former is a traditional videoon- demand service, based on dynamic bandwidth allocation; the latter considers a "cloud-based" video-on-demand service, in which the video content is dynamically moved where user location and resource availability require.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.