IEICE TRANSACTIONS on Information
Placement of Light Splitters and Wavelength Converters for Efficient Multicast in All-Optical WDM Networks
Summary :
This paper studies the problem of light splitter placement (LSP) and wavelength converter placement (WCP) in all-optical WDM networks to enable optimal provisioning of static and dynamic traffic through efficient photonic multicast connections. To solve the LSP-WCP problem under static traffic provisioning, an Integer Linear Programming model is formulated to achieve the optimal solution in the sense that the total number of wavelength channels required by the multicast requests is minimized. To solve the LSP-WCP problem under dynamic traffic provisioning, a complementary-combined LSP-WCP heuristic is proposed to minimize the multicast traffic blocking probability, and is proved through extensive simulations.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.2 pp.709-718
- Publication Date
- 2006/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.2.709
- Type of Manuscript
- Special Section PAPER (Special Section on Parallel/Distributed Computing and Networking)
- Category
- Network Protocols, Topology and Fault Tolerance
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Keyword
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Oliver YU, Yuan CAO, "Placement of Light Splitters and Wavelength Converters for Efficient Multicast in All-Optical WDM Networks" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 2, pp. 709-718, February 2006, doi: 10.1093/ietisy/e89-d.2.709.
Abstract: This paper studies the problem of light splitter placement (LSP) and wavelength converter placement (WCP) in all-optical WDM networks to enable optimal provisioning of static and dynamic traffic through efficient photonic multicast connections. To solve the LSP-WCP problem under static traffic provisioning, an Integer Linear Programming model is formulated to achieve the optimal solution in the sense that the total number of wavelength channels required by the multicast requests is minimized. To solve the LSP-WCP problem under dynamic traffic provisioning, a complementary-combined LSP-WCP heuristic is proposed to minimize the multicast traffic blocking probability, and is proved through extensive simulations.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.2.709/_p
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@ARTICLE{e89-d_2_709,
author={Oliver YU, Yuan CAO, },
journal={IEICE TRANSACTIONS on Information},
title={Placement of Light Splitters and Wavelength Converters for Efficient Multicast in All-Optical WDM Networks},
year={2006},
volume={E89-D},
number={2},
pages={709-718},
abstract={This paper studies the problem of light splitter placement (LSP) and wavelength converter placement (WCP) in all-optical WDM networks to enable optimal provisioning of static and dynamic traffic through efficient photonic multicast connections. To solve the LSP-WCP problem under static traffic provisioning, an Integer Linear Programming model is formulated to achieve the optimal solution in the sense that the total number of wavelength channels required by the multicast requests is minimized. To solve the LSP-WCP problem under dynamic traffic provisioning, a complementary-combined LSP-WCP heuristic is proposed to minimize the multicast traffic blocking probability, and is proved through extensive simulations.},
keywords={},
doi={10.1093/ietisy/e89-d.2.709},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Placement of Light Splitters and Wavelength Converters for Efficient Multicast in All-Optical WDM Networks
T2 - IEICE TRANSACTIONS on Information
SP - 709
EP - 718
AU - Oliver YU
AU - Yuan CAO
PY - 2006
DO - 10.1093/ietisy/e89-d.2.709
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2006
AB - This paper studies the problem of light splitter placement (LSP) and wavelength converter placement (WCP) in all-optical WDM networks to enable optimal provisioning of static and dynamic traffic through efficient photonic multicast connections. To solve the LSP-WCP problem under static traffic provisioning, an Integer Linear Programming model is formulated to achieve the optimal solution in the sense that the total number of wavelength channels required by the multicast requests is minimized. To solve the LSP-WCP problem under dynamic traffic provisioning, a complementary-combined LSP-WCP heuristic is proposed to minimize the multicast traffic blocking probability, and is proved through extensive simulations.
ER -
English
