Today's metropolitan optical networks comprise of SONET/SDH, Wavelength Division Multiplexing, Add-Drop Multiplexers, Access Multiplexers, and various other current-generation technologies. These technologies are engineered to meet the current service demand for point-to-point time division multiplexing traffic, and have worked well to satisfy customer requirements.
Emerging services such as Metro Ethernet, Storage Area Networking, Voice over IP, and Video over IP, require next-generation technologies for optimized service delivery. These services are enabled by next-generation technologies in the form of Multi-Service Provisioning Platforms, Carrier-Class Packet Rings, Coarse and Dense Wavelength Division Multiplexing, High-Capacity Ethernet, Wavelength Switching, and Multifunction Routing technology.
As service demands evolve, the enabling technologies must also evolve. Within this ever-changing environment, network architecture and technology selection must encompass service evolution to ensure optimized cost-effective delivery of services. In fact, optimization is the only constant throughout network evolution.
Based on a real world metro optical network environment, this paper analyzes the characteristics of emerging services, its equivalent traffic demands and various network design scenarios. A generic model and justification on categorizing traffic based on Service Level Agreements is developed. To accomplish these Service Level Agreements, network attributes such as protection schemes, bandwidth sharing, fiber requirement and equipment models are specified.
Within the context of this paper, we are attempting to answer a two-fold question: Which network architecture will provide the best network cost and Service Level Agreement performance, while exceeding the requirements of emerging services in metropolitan optical networks? And how do you optimize this architecture throughout its evolution? We model ring, mesh, and point-to-point topologies as well as a hybrid of those topologies, utilizing a combination of next-generation technologies. These models are then analyzed to determine the cost effects associated with different components within the network. Summarizing results of the analysis and a network evolution strategy are provided as a guide for metropolitan optical service providers.
© 2005 Optical Society of AmericaPDF Article
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