Paper Info
Title
Economic modelling of uncertain next-generation network evolution.
Abstract
In this paper the uncertainties and the implied level of risk associated with next-generation network architectures is modelled using Monte Carlo simulation, aimed at understanding network economics evolution. A high number of network parameters - like incremental network deployment, data centre location, network architecture, service mix, traffic growth and subscriber take-up - are modelled. A wide range of values is used for these parameters to gain understanding of their impact on network cost. Such an approach provides insight into the risk level undertaken by operators when building their network infrastructure based on a specific forecast. Thus, the core result of this analysis is that a sub-wavelength optical packet forwarding technology can de-risk network investments by 500% when compared to a next-generation IPoDWDM solution. Second, in a scaled network scenario the sub-wavelength solution also provides 150% capital savings. Finally, on the medium and long term the sub-wavelength approach yields a cost benefit for 99.8% of the configurations, when compared to an IPoDWDM architecture.
Year
DOI
Venue
2012
10.1109/ONDM.2012.6210193
ONDM
Keywords
Field
DocType
monte carlo methods,monte carlo method,next generation network,optical switch,optical switches,economics,packet forwarding,investment,wavelength division multiplexing,uncertainty,monte carlo simulation,next generation networks,internet,network architecture
Traffic generation model,Next-generation network,Network economics,Network planning and design,Computer science,Computer network,Network simulation,Network architecture,Network traffic simulation,Packet forwarding,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-1441-1
0
0.34
References 
Authors
1
6
Name
Order
Citations
PageRank
Csaba Kiss Kallo182.24
John Dunne200.68
Raymond Carley301.01
Conor O'Malley401.01
VíCtor LóPez58514.39
Juan P. Fernández Palacios6484.93