Ms. Minye Ni Profile

Minye Ni

at Beijing Univ of Posts and Telecommunications

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Proceedings Article | 18 December 2019 Paper

A path and algorithm scoring method for automatic planning and optimization of optical networks

Minye Ni, Hui Li, Manman Bu, Yuefeng Ji

Proceedings Volume 11340, 113401G (2019) https://doi.org/10.1117/12.2547824

KEYWORDS: Evolutionary algorithms, Optimization (mathematics), Optical networks, Algorithm development, Network architectures, Networks, Algorithms, Telecommunications

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This paper presents a path and algorithm scoring method, which can quantitatively evaluate the degree of optimization and intelligently alert potential problems to realize automatic planning and maintenance of optical networks. Since the development of the networks, there is a growing demand for high speed, low latency, and low power consumption. Path selection has always been a problem that needs to be considered in detail in network communication. The combination of classical graph theory and continuously developed algorithms makes algorithms appear constantly. It is found that the increase in the number of services makes the high separation between the actual paths and optimal paths. Combining the scores, we can allocate routing and spectrum for different types of services, meanwhile the average running time of a single service performs lower using the path and algorithm scoring method, which will save a lot of processing time. The result of the simulation shows that as the number of services increases, the scoring method has a clear advantage in processing services. According to this method, a data foundation can be provided for automatic optimization threshold monitoring for operators to adjust the network in advance.

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