Architectures for evolving traditional service provider networks and methods of optimization therefor
View Patent ↗The present invention discloses novel network architectures for evolving traditional service provider networks. The network architecture of the invention has a transport layer including an optical network. At least one node of the network architecture includes a large packet switch that is coupled to the transport layer and to an access layer. The large packet switch aggregates a plurality of services from the access layer. The large packet switch also performs packet level grooming of the information from the services prior to transport of the information via the transport layer. The optical network performs restoration for the network architecture. In one embodiment, the optical network is an optical ring network including at least one optical switch and restoration is performed at the layer-0 (optical layer). In another embodiment, the optical network is a bi-directional line-switched ring (BLSR) utilizing a Synchronous Optical Network (SONET) standard and restoration is performed by the layer-1 (SONET layer). The network architectures of the invention by utilizing a large packet switch to perform service aggregation and packet level grooming, and by performing restoration either at the layer-0 (optical layer) or layer-1 (SONET layer), creates a single converged network that achieves the superior restoration performance needed for carrier grade availability but at much lower costs than traditional service providers which operate multiple overlay networks. Also disclosed are methods to optimize traditional service provider networks and the disclosed novel architectures of the invention.
1. A method implemented by a computer for optimizing network architectures comprising:
generating a traffic model of a plurality of services to be carried through a network, the traffic model capturing at least one of growth, mixture, and market distributions of the plurality of services;
performing a cost optimization for at least one of the plurality of services;
selecting core node locations for the at least one service based upon the cost optimization of the at least one service;
generating routed transport demands based upon the traffic model;
determining at least one optimized transport layer network design for the at least one service based upon routed transport demands; and
determining an optimized access layer network design for the at least one service.
2. The method of claim 1 , wherein selecting core node locations for the at least one service includes selecting core node locations for each service of the plurality of services based upon a cost optimization for each service.
3. The method of claim 1 , wherein determining the at least one optimized transport layer network design includes determining an optimized transport layer network for each service of the plurality of services based upon the routed transport demand of each service.
4. The method of claim 1 , wherein determining an optimized access layer network design for at the least one service includes determining an optimal number of access devices for each service of the plurality of services and an optimal sizing of the access devices for each service.
5. The method of claim 1 , wherein selecting core node locations for the at least one service includes selecting core node locations for an aggregated plurality of services based upon a cost optimization of the aggregated plurality of services.
6. The method of claim 5 , wherein determining the at least one optimized transport layer network design for the at least one service includes determining an optimized converged optical network transport layer design for the aggregated plurality of services based upon routed transport demands.
7. The method of claim 5 , wherein determining an optimized access layer network design for the at least one service includes determining an optimized access layer network design for the aggregated plurality of services by determining an optimal number of access devices and an optimal sizing of the access devices for each service of the aggregated plurality of services.
8. A machine-readable medium of a storage device having tangibly stored thereon instructions, which when executed by a computer, causes the computer to perform operations comprising:
generating a traffic model of a plurality of services to be carried through a network, the traffic model capturing at least one of growth, mixture, and market distributions of the plurality of services;
performing a cost optimization for at least one of the plurality of services;
selecting core node locations for the at least one service based upon the cost optimization of the at least one service;
generating routed transport demands based upon the traffic model;
determining at least one optimized transport layer network design for the at least one service based upon routed transport demands; and
determining an optimized access layer network design for the at least one service.
9. The machine-readable medium of claim 8 , wherein the operation of selecting core node locations for the at least one service includes selecting core node locations for each service of the plurality of services based upon a cost optimization for each service.
10. The machine-readable medium of claim 8 , wherein the operation of determining the at least one optimized transport layer network design includes determining an optimized transport layer network for each service of the plurality of services based upon the routed transport demand of each service.
11. The machine-readable medium of claim 8 , wherein the operation of determining an optimized access layer network design for at the least one service includes determining an optimal number of access devices for each service of the plurality of services and an optimal sizing of the access devices for each service.
12. The machine-readable medium of claim 8 , wherein the operation of selecting core node locations for the at least one service includes selecting core node locations for an aggregated plurality of services based upon a cost optimization of the aggregated plurality of services.
13. The machine-readable medium of claim 12 , wherein the operation of determining the at least one optimized transport layer network design for the at least one service includes determining an optimized converged optical network transport layer design for the aggregated plurality of services based upon routed transport demands.
14. The machine-readable medium of claim 12 , wherein the operation of determining an optimized access layer network design for the at least one service includes determining an optimized access layer network design for the aggregated plurality of services by determining an optimal number of access devices and an optimal sizing of the access devices for each service of the aggregated plurality of services.