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Conferences > ACPC > 2016 > AF2A > AF2A.156

Performance Evaluation of Multi-Request to Multi-Resource Strategy Based on Network Function Virtualization in Classified Optical Network

Ao Yu, Hui Yang, Yongli Zhao, Jie Zhang, Wei Bai, Yuanlong Tan, Linkuan He, Zhu Liu, Qinghai Ou, and Ziguan Zhou

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Abstract

We present a novel fragmentary resources optimization architecture (FROA) model in classified optical networks (CON). A multi-request to multi-resources (MRMR) algorithm is proposed based on the model. Simulation results show MRMR can get better performance.

© 2016 Optical Society of America

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