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Achieving 100% throughput in reconfigurable optical networks
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Source IEEE/ACM Transactions on Networking (TON) archive
Volume 16 ,  Issue 4  (August 2008) table of contents
Pages: 970-983  
Year of Publication: 2008
ISSN:1063-6692
Authors
Andrew Brzezinski  Fidelity Investments, Boston, MA and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Eytan Modiano  Massachusetts Institute of Technology, Cambridge, MA
Publisher
IEEE Press  Piscataway, NJ, USA
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DOI Bookmark: 10.1109/TNET.2007.905603

ABSTRACT

We study the maximum throughput properties of dynamically reconfigurable optical network architectures having wavelength and port constraints. Using stability as the throughput performance metric, we outline the single-hop and multi-hop stability regions of the network. Our analysis of the stability regions is a generalization of the BvN decomposition technique that has been so effective at expressing any stabilizable rate matrix for input-queued switches as a convex combination of service configurations. We consider generalized decompositions for physical topologies with wavelength and port constraints. For the case of a single wavelength per optical fiber, we link the decomposition problem to a corresponding Routing and Wavelength Assignment (RWA) problem. We characterize the stability region of the reconfigurable network, employing both single-hop and multi-hop routing, in terms of the RWA problem applied to the same physical topology. We derive expressions for two geometric properties of the stability region: maximum stabilizable uniform arrival rate and maximum scaled doubly substochastic region. These geometric properties provide a measure of the performance gap between a network having a single wavelength per optical fiber and its wavelength-unconstrained version. They also provide a measure of the performance gap between algorithms employing single-hop versus multi-hop electronic routing in coordination with WDM reconfiguration.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Andrew Brzezinski: colleagues
Eytan Modiano: colleagues