Challenges of cross-origin interoperability. The variability of devices from different manufacturers makes interoperability at the physical and protocol layers of devices very difficult, requiring unified data modeling by upper-layer super control to shield the variability to achieve end-to-end network control.<\/li>\n<\/ul>\nBased on the development requirements of all-optical network 2.0, combined with the current challenges facing WSON, WSON technology needs to continue to develop and evolve. We named it WSON2.0.\u00a0The architecture of WSON2.0 is shown in the following figure:<\/p>\n
![\"The](\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2023\/04\/The-architecture-of-WSON2.0.png\")
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In other words, WSON 2.0 requires a model combining centralized computing and distributed connection establishment on the basis of the original distributed architecture. Centralized computing should have dynamic global computing capabilities, but each node in the network still needs to retain the existing computing capabilities, so that the entire network path computing capabilities with higher robustness.<\/p>\n
At the same time, WSON2.0 technology should have the three characteristics of ultra-large network, certainty, and intelligence, in order to meet the challenges of the all-optical network 2.0 era.<\/p>\n
\n- Ultra large network: WSON2.0 needs to have 300 ~ 1000 ROADM network elements of large network control capabilities to meet the evolution of the network needs. WSON network size increases can significantly improve the number of anti-fiber breakage networks, saving network construction costs and the number of boards, and shortening the end-to-end delay of services through one-hop direct access.<\/li>\n
- Certainty: WSON2.0 needs to have different levels of certainty and differentiated recovery capabilities such as 30 seconds \/ 10 seconds \/ 2 seconds to meet the service reliability needs in different scenarios. The shorter the service reroute time, the higher the reliability.<\/li>\n
- Intelligence: WSON 2.0 can be based on machine learning to achieve intelligent, digital modeling of the optical layer, through feature extraction and deep learning, balancing the whole network and local to derive the optimal solution for performance recovery. And intelligent adaptation is achieved in scenarios such as intelligent optimal tuning, health prediction, intelligent network slicing, and optoelectronic collaboration.<\/li>\n<\/ol>\n
![\"the](\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2023\/04\/the-three-characteristics-of-WSON2.0.png\")
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As the future all-optical network 2.0 continues to develop in automation and intelligence, WSON2.0 will also be widely used in scenarios such as cloud-network collaboration, AI deep application, rapid wavelength change, and optoelectronic collaboration. The continued evolution of WSON2.0 technology will better ensure that the all-optical network 2.0 has efficient network construction, high reliability of bearer services, and automated and flexible operation and maintenance.<\/p>\n
![\"intelligent](\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2023\/04\/intelligent-WSON.png\")
<\/p>\n![\"WSON](\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2023\/04\/WSON-technology-is-an-early-solution-for-optical-transport-network.png\")
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