• 计算节点通过代理收集数据用户作业争夺内存CPU时间

    Collecting data with agents on compute nodes can suck memory and CPU cycles from the user's jobs.

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  • 另外可以时间节点集合计算查询负载

    Additionally, you can evaluate the query load based on the time, nodes, or collections.

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  • 节点包含许多用于应用解析序列选项包括字面值来自XPath谓词表达式计算和特定时间长度内的序列。

    The nodes have a wide range of options for applying and parsing sequences, including literal values, expressions calculated from an XPath predicate, and sequences bounded by a given length of time.

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  • 首先如果计算单元中的某些节点时间(比如密钥寿命倍)内一直停机,它们就丧失通信能力

    First, if some nodes in your cell are left down for extended periods of time (likely twice the key lifetime), the nodes can lose the ability to communicate.

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  • 讨论了网格密度计算精度以及CPU时间关系以及节点四边形单元复杂求解域的适应性

    The relationship of the gridding density, CPU time and account precision and applicability of eight node's quadrangle element in complicated zone was discussed.

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  • 然而更多节点导致计算时间的增加。

    However, with more nodes the analysis time is also increased.

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  • 引入了交易时间交易规模、交易次数等因素进行信任计算利用惩罚限制交易节点提供恶意服务

    Transaction time factors, transaction scales, and transactions number are introduced to calculate the trust value. Penalty item is used to limit node to provide malicious service.

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  • 通过电机定子温度计算结果后处理,得出了该电机定子运行不同时间段里温度分布图以及该电机定子壳体任一节点温升曲线

    Dealing with the calculation results of the temperature field of the motor stator, we obtain the temperature distributed diagram at not same segment, and the temperature rising the curve of any node.

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  • 节点时差CPM网络一个重要机动时间概念,各种机动时间最为直观计算应用起来最为简便

    Node slack is of great importance in CPM network, and it is the most intuitive and the simplest for computing and applications in a variety of slacks.

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  • 改进的算法冗余树算法相比不但有效的降低组播节点数目,而且计算时间也相对较少。

    The advanced redundant tree algorithm reduces the number of nodes in multicast tree and the run time compared with the redundant tree algorithm.

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  • 同时完善了用户界面。针对默认各个计算节点完成任务问题本文通过监控各个节点所负担作业运行进度设定作业时间来管理作业运行。

    For the problem of acquiescing in each calculation node for completing tasks, we manage job allocation through monitoring operational progress at each node and setting time threshold value.

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  • 算法固定间隔时间利用分类信息进行节点负载计算并且转发请求按照转发概率进行转发。

    At a fixed interval of time the algorithm USES classification information to calculate the load of nodes, and forwards the request in accordance with the forwarding probability within the group.

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  • 有限元计算过程中,可通过优化节点编号减少整体刚度矩阵带宽从而节约存储空间,减少有限元分析计算时间

    In finite element analysis, the bandwidth of the whole stiffness matrix is reduced by optimizing the node numbering, thereby the needed memory space is saved and the calculation time is reduced.

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  • 算法基于连接成功率算法基础上,通过计算节点单位时间内,被动连接主动连接数的比值进一步判断。

    The algorithm computes the ratio of passive connections and initiative connections in unit time to identify P2P peer after connection responsed success rate method.

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  • 待定节点再利用蒙特卡罗算法迭代计算前面时间位置样本充分利用观测值滤除较差样本,从而提高当前时刻定位精度

    Hence a node may obtain more observations for estimating previous location sets. Then the previous location sets are recomputed by the MCL method to improve the location accuracy of the present time.

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  • 文中给出物理时间模拟算法计算网络管理流程节点信息仿真信息管理模块实现方法

    In the thesis, the research works including physical time simulation algorithm, computer network management flow, and the realization method of node and simulation information management module.

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  • 计算结果表明线性边界元法具有计算精度,所需节点,占内存计算时间优点

    It has been shown that LBEM has the advantage of higher accuracy, fewer nodes, smaller memory and shorter time.

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  • 计算网格目标在于通过大量计算节点协作来减少应用程序的执行时间

    The computational grid focuses on reducing execution time of applications that require a great number of computer processing cycles.

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  • 计算结果表明方法可有效模拟具有时间相关性、空间相关性的节点脉动风速时程。

    Statistical analysis results of numerical wind speed time series show that the method is efficient in simulating nodal wind speed time series which has time and space correlativity.

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  • 计算结果表明方法可有效模拟具有时间相关性、空间相关性的节点脉动风速时程。

    Statistical analysis results of numerical wind speed time series show that the method is efficient in simulating nodal wind speed time series which has time and space correlativity.

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