Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Mesh-based Survivable Transport Networks: Options and Strategies for Optical, MPLS, SONET and ATM Networking
Cost vs. reliability performance study of fiber access network architectures
IEEE Communications Magazine
Energy-efficiency in telecommunications networks: link-by-link versus end-to-end grooming
ONDM'10 Proceedings of the 14th conference on Optical network design and modeling
IEEE 802.3az: the road to energy efficient ethernet
IEEE Communications Magazine
Analyzing local strategies for energy-efficient networking
NETWORKING'11 Proceedings of the IFIP TC 6th international conference on Networking
Traffic grooming in an optical WDM mesh network
IEEE Journal on Selected Areas in Communications
Eco-sustainable routing in optical networks
Photonic Network Communications
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Network operators are willing to provide a range of services in the hope of maximizing their profits: from the highly available connectivity services for key business customers to the unprotected or even best effort services for residential customers. These services are being provided through IP/multiprotocol label switching (MPLS) over wavelength-switched optical networks (WSON) networks. Such multilayer network enables the application of optimal load balancing between the packet and the optical layer, optimizing both the cost of the packet layer and the utilization of the WSON. To provide highly available services, redundant network resources need to be added to the network providing survivability against failures; generally speaking, the higher the survivability degree, the higher both the capital and the operational expenditures (CAPEX and OPEX, respectively) of the network. In this work, we design networks to meet specific availability objectives considering single failures in optical links, IP/MPLS nodes, and optoelectronic ports. The benefits of the designed networks are evaluated from an economic perspective defining costs and revenues models and using Net Present Value as a metric to evaluate future cash flows after an investment. To this end, CAPEX and OPEX, including power consumption and maintenance, and penalties as a consequence of service level agreement breaches are considered. Exhaustive numerical results on several reference network scenarios demonstrate how the value of the network can be maximized by tuning availability objectives.