ID 原文 译文
3123 目前，关于分布式存储因果一致性的研究领域中鲜有考虑安全风险的成熟方案。 At present, there are few mature solutions to consider security risks in the research field of distributed storage causal consistency.
3124 在混合逻辑时钟和 HashGraph 的基础上，结合可信云平台中的可信云联盟技术，提出了具有可信约束的分布式存储因果一致性模型 （CCT 模型）。 On the basis of hybrid logic clock and HashGraph, combined with trusted cloud alliance technology in trusted cloud platform, a distributed storage causal consistency model (CCT model) with trust constraints was pro- posed.
3125 CCT 模型在客户端、服务端分别设计了身份认证和一致性数据可信校验机制，并对云存储集群中 数据副本之间同步数据的过程进行了安全约束。 The CCT model designed identity authentication and consistent data trust verification mechanism on the client side and the server side respectively, and imposed security constraints on the process of data synchronization between data replicas in the cloud storage cluster.
3126 通过仿真实验验证，CCT 模型在造成了较小性能开销的前提下， 能对客户端和服务端中身份签名伪造、非法第三方等安全风险进行识别并验证，为系统提供可信约束。 Through the simulation experiment, CCT model can identify and verify the identity signature forgery, illegal third party and other security risks in the client and server, and provide the trusted con- straint for the system on the premise of causing small performance cost.
3127 为了解决无线能量收集网络中节点能量的不确定性使系统难以设计合理的传输策略的问题，构建源节点 电池容量受限的菱形信道，以最大化系统端到端的吞吐量为目标， In order to solve the problem that the energy harvesting uncertainty of node in wireless energy harvesting net- work makes it difficult for the system to design a reasonable transmission strategy, a diamond channel with limited bat- tery capacity of the source node were constructed. The goal was to maximize the end-to-end throughput of the system.
3128 在满足传输节点间能量和数据因果及电池能量 无溢出约束的条件下，构建系统中端到端吞吐量最大化的模型，提出一种最优的离线传输功率和速率分配策略。 Under the conditions of meeting the constraints of energy and data causality between transmission nodes and no battery energy overflow, a model to maximize the end-to-end throughput of the system was built, and an optimal offline trans- mission power and rate allocation strategy was proposed.
3129 该策略首先根据理论分析和公式推导，将最优传输问题转化为求解广播信道侧的最优传输问题，利用注水算法求 解源节点到中继节点的最优总功率。 Firstly, based on theoretical analysis and formula derivation, the strategy transformed the optimal transmission problem into the optimal transmission problem on the side of the broadcast channel, and used the water-filling algorithm to solve the optimal total power from the source node to the relay node.
3130 然后根据广播信道吞吐量最大化问题中的截止功率水平，分析源节点到各中 继节点的吞吐量， Then, the throughput of the source node to each relay node was analyzed based on the cutoff power level in the broadcast channel throughput maximization problem.
3131 根据中继节点数据到达情况，采用迭代注水法求解中继节点到目的节点最优传输功率，并通过 扩展多址接入信道最优速率满足条件求解最优速率。 Finally, according to the data arrival of the relay node, the iterative wa- ter-filling method was used to solve the optimal transmission power from the relay node to the destination node, and the optimal rate was solved by extending the optimal rate of the multiple access channel.
3132 仿真结果证明了所提优化策略的可行性和正确性。 Simulation results demonstrate the feasibility and correctness of the proposed optimization policies.