| ID | 原文 | 译文 |
| 4954 | 实验结果表明，该策略在状态数据复杂的应用场景中有较好的优化效果，在满足计算时延约束的前提下提高了集群的吞吐量，缩短了状态数据迁移的时间。 | The experimental results show that thestrategy can effectively provide performance promotion in the application with complex stateful data. |
| 4955 | 由此可见，FAR-Flink 策略有效提升了集群对负载波动的响应能力。 | It improved thethroughput of the cluster and reduced the time overhead of the data migration on the premise of satisfying the latencyconstrain of the application, which means that the strategy promotes the scalability of the cluster efficiently. |
| 4956 | 针对在雷达观测下机动弱小目标的检测前跟踪（TBD）问题中，基于序贯蒙特卡洛的势均衡多伯努利检测前跟踪（SMC-CBMeMBer-TBD）算法存在目标的数目估计不准确及状态估计精度随时间下降的问题，提出了一种基于 SMC-CBMeMBer 前向后向平滑检测前跟踪的改进算法。 | For the tracking problem of multiple maneuvering targets in radar observation, the sequential Monte-Carlo cardi-nality-balanced multi-Bernoulli track-before-detect (SMC-CBMeMBer-TBD) algorithm is inaccurate in the estimation of the number of targets and the precision of state estimation. An improved algorithm based on SMC-CBMeMBer forward back-ward smoothing track-before-detect algorithm was proposed. |
| 4957 | 该算法在预测和更新过程之间加入多目标粒子群优化算法（MOPSO），基于观测值设置适应度目标函数，使粒子集群向后验概率密度较为集中的位置分布，缓解了粒子贫乏的问题； | In the algorithm, the multi target particle swarm optimization(MOPSO) was added between the process of prediction and update, and the fitness function was set up based on the observa-tion value to make the particle set move to the position of the larger posterior probability density distribution, and solve theparticle poverty in the heavy sampling process. |
| 4958 | 在更新步骤之后加入平滑递归方法，利用观测值平滑滤波值，算法运算时间虽有一定延长，但获得了数目和状态估计精度的提升。 | In the update step, the algorithm was used. Then the smoothing recursivemethod was added, and the arithmetic operation time was prolonged, but the number and the state estimation precision wereimproved. |
| 4959 | 仿真实验表明，与 CBMeMBer-TBD 方法相比，所提算法在对机动目标数目估计和目标状态估计的准确度等性能上都有所改进。 | The simulation results show that compared with the CBMeMBer-TBD method, the proposed algorithm improvesthe accuracy of the estimation of the number of maneuvering targets and the accuracy of the target state estimation. |
| 4960 | 针对企业级网络中计算机拥有者的自私属性导致网络中可用资源节点数量不足和资源分配效率低的问题，提出一种以拍卖机制为核心的企业级网络最优匹配资源分配（OMRA）策略， | To address the issue that the owners of computer are selfish in the enterprise networks, which caused the lowavailable number of resource nodes and low efficiency of resource allocation, an optimized matching resource allocationstrategy OMRA was proposed and its core was the auction mechanism. |
| 4961 | 在抑制节点自私性的同时提升网络可用资源数，进而提升整个拍卖市场的运行效率。 | Selfishness was restrained and the number ofavailable resources was increased by OMRA, so as the operating efficiency of the whole auction market was improved. |
| 4962 | 首先，归一化不同类型资源的成本，确定拍卖初始的资源请求价格； | First, the initial prices were determined by normalizing the costs of different type of resources on the beginning of auction. |
| 4963 | 其次，设计了最优化匹配的拍卖算法，最大化拍卖市场的收益； | Secondly, an optimal matching auction algorithm was designed to maximize the interests of the auction markets. |