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Proceedings Paper

A path and algorithm scoring method for automatic planning and optimization of optical networks
Author(s): Minye Ni; Hui Li; Manman Bu; Yuefeng Ji
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Paper Abstract

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.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11340, AOPC 2019: Optical Fiber Sensors and Communication, 113401G (18 December 2019); doi: 10.1117/12.2547824
Show Author Affiliations
Minye Ni, Beijing Univ. of Posts and Telecommunications (China)
Hui Li, Beijing Univ. of Posts and Telecommunications (China)
Manman Bu, Beijing Univ. of Posts and Telecommunications (China)
Yuefeng Ji, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 11340:
AOPC 2019: Optical Fiber Sensors and Communication
Jie Zhang; Songnian Fu; Jun Yang, Editor(s)

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