Lasers, Fiber Optics, and Communications

Dynamic virtual optical network embedding in spectral and spatial domains over elastic optical networks with multicore fibers

[+] Author Affiliations
Ruijie Zhu

Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communication, No. 10 Xitucheng Road, Beijing 100876, China

University of Texas at Dallas, Department of Computer Science, 800 West Campell Road, Richardson, Texas 75080, United States

Yongli Zhao, Hui Yang, Yuanlong Tan, Haoran Chen, Jie Zhang

Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communication, No. 10 Xitucheng Road, Beijing 100876, China

Jason P. Jue

University of Texas at Dallas, Department of Computer Science, 800 West Campell Road, Richardson, Texas 75080, United States

Opt. Eng. 55(8), 086108 (Aug 23, 2016). doi:10.1117/1.OE.55.8.086108
History: Received May 26, 2016; Accepted July 29, 2016
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Abstract.  Network virtualization can eradicate the ossification of the infrastructure and stimulate innovation of new network architectures and applications. Elastic optical networks (EONs) are ideal substrate networks for provisioning flexible virtual optical network (VON) services. However, as network traffic continues to increase exponentially, the capacity of EONs will reach the physical limitation soon. To further increase network flexibility and capacity, the concept of EONs is extended into the spatial domain. How to map the VON onto substrate networks by thoroughly using the spectral and spatial resources is extremely important. This process is called VON embedding (VONE).Considering the two kinds of resources at the same time during the embedding process, we propose two VONE algorithms, the adjacent link embedding algorithm (ALEA) and the remote link embedding algorithm (RLEA). First, we introduce a model to solve the VONE problem. Then we design the embedding ability measurement of network elements. Based on the network elements’ embedding ability, two VONE algorithms were proposed. Simulation results show that the proposed VONE algorithms could achieve better performance than the baseline algorithm in terms of blocking probability and revenue-to-cost ratio.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Ruijie Zhu ; Yongli Zhao ; Hui Yang ; Yuanlong Tan ; Haoran Chen, et al.
"Dynamic virtual optical network embedding in spectral and spatial domains over elastic optical networks with multicore fibers", Opt. Eng. 55(8), 086108 (Aug 23, 2016). ; http://dx.doi.org/10.1117/1.OE.55.8.086108


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