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

机译:基于神经区块结构的复杂数据跨域请求的QoS优化系统

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摘要

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.
机译:各种计算环境不断地出现,这些环境正在使用不同的技术平台和彼此的安全机制。网络技术的开发使得各种系统之间的跨域访问,这需要系统之间的无缝信息共享和数据交换,从而消除了信息岛的现象。凭借其独特的共识机制和兼容加密算法,它逐渐引起了各种领域的关注。许多人认为,区块链技术是未来互联网技术的革命,这也是信息基础设施技术的巨大创新。为了确保数据网格的高QoS,系统需要克服网络和网格节点的许多不稳定因素。资源(功能)预留,复制部署,缓冲机制,并行数据传输和数据存储和恢复是解决此类问题的主要方法。最重要的是,本文提出了基于神经区块结构的复杂数据跨域请求的QoS优化系统。实验结果表明,该方法具有较高的稳健性和效率。

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