Predeployment of resources in agile photonic networks

• Published in: Journal of lightwave technology Vol. 22; no. 10; pp. 2236 - 2244
• Main Authors: Gerstel, O., Raza, H.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2004; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: All-optical networks; Applied sciences; Bandwidth; Circuit properties; Configurable; Costs; Dispatching; Dynamics; Electric, optical and optoelectronic circuits; Electronics; Exact sciences and technology; Expenses; Integrated optics. Optical fibers and wave guides; Intelligent networks; Joints; Long distance private networks; Miscellaneous; Networks; Networks and services in france and abroad; Optical and optoelectronic circuits; Optical communication; Optical design; Optical fiber networks; Optical switches; Photonics; Repeaters; Systems, networks and services of telecommunications; Telecommunication traffic; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Teletraffic; Traffic engineering; Telecommunication network planning; optical networks; traffic uncertainty; Teletraffic; optical cross connect (OXC); predeployment; Optical fiber network; overprovisioning; Wide area network; photonic switch; Optical fiber communication; Optical switch; Network planning; Optical interconnection
• ISSN: 0733-8724; 1558-2213
• DOI: 10.1109/JLT.2004.833283

This paper shows that the main challenge in remotely configurable optical networks lies in how networks should be designed and sized for dynamic traffic in the face of uncertain forecasts, so as to minimize capital expenses, predominantly due to the need to predeploy (or overprovision) resources in preparation for the next connection request. In addition, this paper demonstrates how the operational savings promised by such capabilities measure up against the added capital expenses. Consequently, new ways to provision resources in the network to minimize these expenses are proposed. The results are based on real-world long-haul networks and costs.