A QoS optimization system for complex data cross-domain request based on neural blockchain structure

【Author】 Deng, Lianbing; Li, Daming; Cai, Zhiming; Yao, Xiang

【Source】NEURAL COMPUTING & APPLICATIONS

【影响因子】5.102

【Abstract】Various computing environments are constantly emerging which are using different technology platforms and security mechanisms from each other. The development of network technology makes cross-domain access between various systems necessary, which requires seamless information sharing and data exchange between systems, thus eliminating the phenomenon of information islands. With its unique consensus mechanism and compatible encryption algorithms, it has gradually attracted attention in various fields. Many people believe that blockchain technology is a revolution in Internet technology in the future, which is a huge innovation in information infrastructure technology as well. In order to ensure a high QoS of the data grid, the system needs to overcome many unstable factors of the network and the grid nodes. Resource (capability) reservation, copy deployment, buffer mechanism, parallel data transfer, and data storage and recovery are the main means to solve such problems. Above all, this paper proposed a QoS optimization system for complex data cross-domain request based on neural blockchain structure. Experimental results show that the proposed method has higher robustness and efficiency.

【Keywords】Neural network; Blockchain; Network structure; Cross-domain request for complex data

【发表时间】2020 NOV

【收录时间】2022-01-02

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