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Partial Destination Resolution in Multicast Elastic Optical Networks: A Mixed-Integer Linear Programming Approach
Rush, Andrew J

2016, Master of Science, Miami University, Computational Science and Engineering.
This paper explores the spectral assignment problem and proof of value of partial destination resolution (PDR) in multicast elastic optical networks using a supplied tree approach. The partial destination resolution method allows for subsets of destination nodes in multicast calls to be connected with lower than optimal bandwidth requirements. This method allows additional connections to be tailored around this flexibility, resulting in an increased amount of total throughput of the system at the expense of a subset of the nodes receiving lower bandwidth connections. The study is performed by adding PDR capabilities to existing elastic optical networking systems and performing a comparison study of the effects on percent demand throughput for a variety of network topologies and spectral slice and demand sizes. Limitations of the implementation of integer linear programming techniques with respect to runtime and memory usage are examined to determine the bounding of system sizes.
Gokhan Sahin (Advisor)
Donald Ucci (Advisor)
Chi-Hao Cheng (Committee Member)
79 p.

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Rush, A. (2016). Partial Destination Resolution in Multicast Elastic Optical Networks: A Mixed-Integer Linear Programming Approach. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Rush, Andrew. "Partial Destination Resolution in Multicast Elastic Optical Networks: A Mixed-Integer Linear Programming Approach." Electronic Thesis or Dissertation. Miami University, 2016. OhioLINK Electronic Theses and Dissertations Center. 11 Dec 2017.

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Rush, Andrew "Partial Destination Resolution in Multicast Elastic Optical Networks: A Mixed-Integer Linear Programming Approach." Electronic Thesis or Dissertation. Miami University, 2016. https://etd.ohiolink.edu/

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