Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Preface to the Second Edition
- Acknowledgments
- Multiwavelength Optical Networks
- 1 The Big Picture
- 2 The Layered Architecture and Its Resources
- 3 Network Connections
- 4 Enabling Technology
- 5 Static Multipoint Networks
- 6 Wavelength/Waveband-Routed Networks
- 7 Logically-Routed Networks
- 8 Survivability: Protection and Restoration
- 9 Optical Control Plane
- 10 Optical Packet-Switched Networks
- 11 Current Trends in Multiwavelength Optical Networking
- A Graph Theory
- B Fixed Scheduling Algorithm
- C Markov Chains and Queues
- D A Limiting-Cut Heuristic
- E An Algorithm for Minimum-Interference Routing in Linear Lightwave Networks
- F Synopsis of the SONET Standard
- G A Looping Algorithm
- Acronyms
- Index
D - A Limiting-Cut Heuristic
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Figures
- Tables
- Preface to the Second Edition
- Acknowledgments
- Multiwavelength Optical Networks
- 1 The Big Picture
- 2 The Layered Architecture and Its Resources
- 3 Network Connections
- 4 Enabling Technology
- 5 Static Multipoint Networks
- 6 Wavelength/Waveband-Routed Networks
- 7 Logically-Routed Networks
- 8 Survivability: Protection and Restoration
- 9 Optical Control Plane
- 10 Optical Packet-Switched Networks
- 11 Current Trends in Multiwavelength Optical Networking
- A Graph Theory
- B Fixed Scheduling Algorithm
- C Markov Chains and Queues
- D A Limiting-Cut Heuristic
- E An Algorithm for Minimum-Interference Routing in Linear Lightwave Networks
- F Synopsis of the SONET Standard
- G A Looping Algorithm
- Acronyms
- Index
Summary
The concept of the limiting cut, introduced in Section 6.3.1.2, stems from the Min Cut–Max Flow relation in multicommodity flow problems. We first give a brief summary of this problem and then present a heuristic for finding limiting cuts.
The Multicommodity Flow Problem and Limiting Cuts
In the most common version of the multicommodity flow problem, a set of demands are prescribed between source-destination node pairs in a network with a given topology and link capacities. (Each source-destination demand is known as a commodity, and the network can be anything—gas pipelines, airline routes, highways, and so on.) The basic issue is whether the prescribed demands can be satisfied within the capacity constraints; that is, whether all commodities can be routed through the network (in a bifurcated manner if necessary) so that the total flow of all commodities on each link does not exceed its capacity. If so, the demands are said to be feasible.
In wavelength-routed networks (WRNs), the commodities (demands) are LCs, each requiring one λ-channel, so the capacity of a cut Ci is FiW, where Fi is the number of fiber pairs in the cut and W is the number of available wavelengths. Because a channel in a WRN is a single point-to-point entity, bifurcated routing is not permitted in a WRN. (An exception would be a case in which several λ-channels are required to carry the flow on one LC.)
The relations between cut capacities and feasible demands were stated in Section A.1.8 for the single-commodity case. In the multicommodity case, which is of interest here, the relations are considerably more complex.
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- Multiwavelength Optical NetworksArchitectures, Design, and Control, pp. 890 - 892Publisher: Cambridge University PressPrint publication year: 2008