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Improved algorithm of cloud service node path based on cross-border transaction platform under load balancing

机译：基于负载平衡下跨境事务平台的云服务节点路径的改进算法

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Cross-border trading platforms study logistics from the perspective of the network, involving all links in the network and the supply chain. The network status is constantly changing, and the acquisition and analysis of the real-time status of each link on the transaction path can further improve the accuracy of the optimal path selection. Meanwhile, traditional networks can no longer adapt to the rapid development of today's network technology and applications due to their rigid structure and simplified functions. As for traditional networks and their associated network equipment, problems such as inconvenient management and monitoring, poor interoperability, difficulty in expanding network functions, and high operating costs have severely hindered the efficiency of network functions and the pace of innovation. In order to solve many problems faced by traditional networks, in the paper, an SDN network path selection algorithm based on the dual impact factors of cloud service nodes is proposed. In the algorithm proposed in the paper, the final selected path is considered to be composed of multiple links. First, a cloud environment based on the Ryu controller is build, and a corresponding data collection strategy is constructed to complete the acquisition of the link available bandwidth and delay that affect the real-time status of the path. Then, the weighted results are calculated according to the proposed candidate path weight distribution formula to realize the sorting and screening of each transaction link, and provide support for the selection of the cross-border transaction system service path with load balance. The simulation results show that compared with the traditional DLB algorithm, the algorithm proposed in the paper has better load balancing performance, which further shows that the proposed algorithm has a better choice for the path.
机译：跨境交易平台从网络的角度研究物流，涉及网络中的所有链接和供应链。网络状态不断变化，并且事务路径上每个链路的实时状态的获取和分析可以进一步提高最佳路径选择的准确性。与此同时，由于其刚性结构和简化的功能，传统网络不能再适应当今网络技术和应用的快速发展。至于传统网络及其相关的网络设备，管理和监测不方便，互操作性差，扩大网络功能困难等问题，以及高运营成本严重阻碍了网络功能的效率和创新的节奏。为了解决传统网络面临的许多问题，在本文中，提出了一种基于云服务节点的双重影响因子的SDN网络路径选择算法。在本文中提出的算法中，最终所选路径被认为由多个链路组成。首先，构建基于RYU控制器的云环境，构建了相应的数据收集策略以完成影响影响路径实时状态的链接可用带宽和延迟的获取。然后，根据所提出的候选路径权重分配公式计算加权结果，以实现每个事务链路的排序和筛选，并提供支持具有负载平衡的跨境事务系统服务路径的支持。仿真结果表明，与传统的DLB算法相比，本文提出的算法具有更好的负载平衡性能，进一步表明该算法具有更好的路径选择。

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