计算节点

  • 网络compute node;Computer Node;Node Controller
计算节点计算节点
  1. 两个云组创建完成后,需要为每个云组分配一个计算节点和适当的IP组。

    With both cloud groups created , you need to assign each one a compute node and the appropriate IP group .

  2. 系统提供了一个命令来验证是否可以在SAN存储中看到每个计算节点。

    A command is provided to validate whether each compute node has visibility to the SAN storage .

  3. 在计算节点上自动安装Linux。

    Automated Linux installation on compute nodes .

  4. 这个脚本的作用是设置计算节点上的users数据库,并会在节点引导后执行。

    The script sets up the users database on the compute nodes and will be executed after the nodes are booted .

  5. 基于移动Agent技术,对网络中计算节点进行数学规划,结合负载均衡技术达到网络优化配置。

    The third is based on mobile Agent , mathematics programming network nodes and optimizing network configuration by load balance technology .

  6. 是一个由一个或多个计算节点以及至少一个IP组构成的逻辑计算机。

    Is a logical computer composed of one or more compute nodes and at least one IP group .

  7. 网格并行任务在集群中运行会遇到局域网的问题,即在集群的计算节点只有局域网IP地址时,网格并行任务就不能顺利地运行。

    As all nodes in a cluster have only local IP addresses , a parallel task cannot be executed smoothly .

  8. 针对任意离散型曲线的CNC编程方法提出了误差控制法计算节点,控制程序段的长度。

    This paper describes a new method for CNC programming section , known as Error Control Method .

  9. 控制器将存储作为SAN管理,计算节点可通过SAN适配器访问。

    The controller manages the storage as a SAN that the compute nodes accesses through SAN adapters .

  10. 论文利用MonteCarlo方法,计算节点疲劳寿命服从对数正态分布时,n个节点的最小值的分布,给出了分布函数的具体表达式。

    Monte Carlo method is used to calculate a function which is a formulation about a number of joints .

  11. 在计算节点上通过代理收集数据会与用户的作业争夺内存和CPU时间。

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

  12. TORQUE是一种工作负载和资源管理系统,可用于管理批量作业和计算节点并调度这些作业的执行。

    TORQUE is a workload and resource-management system that manages batch jobs and compute nodes and schedules the execution of those jobs .

  13. 若计算节点运行TORQUE服务器分派的作业,运行在每个计算节点上的TORQUE作业执行守护程序就会启动。

    The compute nodes run jobs that the TORQUE server dispatches and the TORQUE job-execution daemon running on each compute node starts .

  14. 通过计算节点间分解出的ERP成分的同步性,展示了符合神经生理机制的事件相关脑网络连接。

    The event-related network which was consistent with the neural physiological mechanism was shown according to the synchronization analysis between nodes .

  15. 个人微机上的多核CPU的普及提供了单个计算节点上的CPU计算资源的挖掘空间。

    With the popularity of the multi-core processor , it provides Mining Spatial of CPU computing resources under Single node .

  16. 对于一个要运行的云组,需要包含至少一个计算节点(至少一个IP组)。

    For a cloud group to function , it needs to contain at least one compute node ( and at least one IP group ) .

  17. 网络基础结构NI(NetworkInfrastructure)如Internet和Grid通常由静态计算节点组成。这些节点支持高性能计算和通信,还拥有许多嵌入资源。

    The network infrastructure ( NI ) such as the internet and the grid usually consists of the static computation nodes supporting the high performance computation and communication .

  18. 云组可能移动计算节点间的VM来实现负载均衡或故障恢复。

    The cloud group may move the VMs between compute nodes for load balancing or failover purposes .

  19. 在ServiceInvocation将消息的格式在BLOB和SOAP之间转换之前和之后添加一个计算节点。

    Add a compute node before and after the Service Invocation to translate the message from BLOB to SOAP and vice versa .

  20. 在对节点可靠性分类的基础上,提出了一种基于计算节点可靠度的Hadoop作业调度算法(JobSchedulingBasedonNodeReliability,JSBNR)。

    Based on the classification of node reliability , it proposes a new job scheduling algorithm ( Job Scheduling Based on Node Reliability , JSBNR ) .

  21. 事实证明只需复制一些文件就可以把Ganglia放到计算节点上。

    It turns out that you can put Ganglia on the compute nodes by just copying a few files .

  22. 现在,所有计算节点均运行的是TORQUEV2.3.10。

    Now , all compute nodes are running TORQUE V2.3.10 .

  23. 从管理节点上在所有计算节点上启动GPFS。

    Start GPFS on all compute nodes from the management node .

  24. 再举一个例子,假设要检查Linux集群中的各个计算节点中的内存大小是否一样。

    As another example , let 's suppose you want to check that the memory size is the same in each of the compute nodes in the Linux cluster .

  25. 然后,在控制器和计算节点上安装所需的Nova包。

    You then install the required Nova packages on both the controller and compute nodes .

  26. 现有的基于兴趣聚类的P2P网络拓扑构建算法通常利用节点共享文件提取的兴趣为依据来计算节点间的相似度。

    The existing P2P network topology construction algorithms based on interests clustering typically calculate the similarity among nodes on the base of interests extracted from the shared files .

  27. 在调用样式表转换前,计算节点Standardise将对捕获的WSDL文档进行少量的修改。

    Before invoking the stylesheet transformation , the compute node Standardise slightly alters the captured WSDL document .

  28. 按需云HPC方法需要定义明确的现成集群、计算节点和对传输工作负载过程中的WAN延迟的容忍能力。

    The cloud HPC on-demand approach requires well-defined off-the-shelf clustering , compute nodes , and tolerance for WAN latency to transfer workload .

  29. 工作负载的VM在云组的计算节点中运行,但并不是都在相同计算节点中运行。

    A workload 's VMs run in the cloud group 's compute nodes , and not necessarily all in the same compute node .

  30. 本例运行于两个计算节点之上,并且目标Teradata数据库有两个AMP。

    This example runs on two computing nodes and the targeted Teradata database has two AMPs .