• Start GPFS on all compute nodes from the management node.

    从管理节点上在所有计算节点上启动GPFS。

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  • Compute node (AddBrokerName) reads and copies the message tree.

    计算节点(AddBrokerName)读取和复制消息树。

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  • Private subnet configuration between head node and compute nodes.

    配置头节点和计算节点之间的子网。

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  • We now need to understand the initial StoreInputMsg Compute node.

    我们现在需要了解一下初始storeinputmsgCompute节点。

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  • Definitions for each of the compute nodes exist on the management node.

    在管理节点上有对每个计算节点的定义。

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  • The ability to access to multiple databases within a single Compute node.

    能够在单个Compute节点中访问多个数据库。

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  • If you prefer to use the Properties tree, use the following ESQL in a compute node.

    如果倾向于使用properties树,在计算节点中使用以下esql。

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  • The compute node can be logically and physically grouped into multiple sections.

    Compute节点可以采用逻辑和物理的方式分组到多个部分。

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  • Node grouping allows administrators to categorize and batch operations on compute nodes.

    新的节点分组功能,允许管理员将节点进行分类,并指派计算任务。

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  • If this component is used, the only way to implement the processing is to use a compute node.

    如果使用该组件,那么实现处理过程的唯一方法是使用计算节点。

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  • The payload is then passed in as is (binary data) to the compute node you will create shortly.

    然后,负载被按原样(二进制数据)传递给稍后将创建的计算节点。

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  • The diskless method of provisioning the compute nodes is used, whereby the nodes boot from the management node.

    对计算节点的供应采用的是无磁盘的方法,计算节点从管理节点引导。

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  • The next node is a Compute node named Length Processing, which interprets the first four bytes of the message data.

    下一个节点是名称为LengthProcessing的Compute节点,它将对消息数据的前四个字节进行解释。

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  • For a small cluster, a single management node can provide the bandwidth required to provision all the compute nodes.

    对于一个小的集群,单一一个管理节点就能提供供应所有的计算节点所需的带宽。

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

    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。

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  • The date is only added to the file record when this variable is equal to 1. The ESQL used in the Compute node is.

    仅当此变量等于1时,才向文件记录添加日期。

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  • The ESQL for the Compute node will not be copied to the new message flow, but will remain in the original ESQL schema.

    Compute节点的ESQL将不会复制到新的消息流,但是仍将位于原始esql模式中。

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

    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。

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  • When a compute node in a cluster wants to access a file in this parallel filesystem, it goes through the following steps.

    当集群中的计算节点想要访问并行文件系统中的一个文件时,它需要执行以下步骤。

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  • Add a Compute node (Invalid Claim, in Figure 5) and include the ESQL in Listing 5 to set the appropriate reply information.

    添加Compute节点(InvalidClaim,在图5中)并包含图5中的ESQL来设置适当的应答信息。

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

    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。

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  • The compute node at the end of each Web service path would have to use a unique part of the Environment tree for its information.

    每个Web服务路径末端的Compute节点可以使用environment树中一个唯一的部分来提供参考信息。

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  • The high performance cluster described in this example consists of five OpenPower 710 servers: one management node and four compute nodes.

    本例子中所描述的高性能集群由五个OpenPower 710服务器构成:一个管理节点和四个计算节点。

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  • So that changes to the LocalEnvironment are not lost after leaving the node, remember to alter the compute Mode property of the compute node.

    这样,对LocalEnvironment的更改就不会在离开节点后丢失,请记得更改计算节点的Computemode属性。

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  • The new multiple out terminals on the Compute node all the flow to be simplified and eliminated the need for either Filter or RouteToLabel nodes.

    Compute节点上的多个新输出终端均可帮助简化流,并能消除对Filter或RouteToLabel节点的需求。

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  • The potential number can be increased even more by adding another Compute node and "duplicating" the functions of the StoreInputMsg Compute node.

    通过再添加一个Compute节点,并“复制”StoreInputMsg Compute 节点的功能,甚至可以进一步增加可添加的潜在数量。

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  • The following figure shows that the request is then forwarded to a Compute node to do the transformation of the incoming request from SOAP to binary.

    下面的图显示该请求接着被转发到一个Compute节点,以将进入的请求从soap转换成二进制。

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  • The architecture of the dynamic cluster we are building is shown in Figure 1, where the xCAT cluster consists of a management node and several compute nodes.

    我们所构建的这个动态集群的架构如图1 所示,其中的xCAT 集群包括了一个管理节点和几个计算节点。

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  • The compute node UPPERCASE turns the text character received into UPPERCASE and then sends out the message through the TCPIPClient Output node to Socket 1113.

    计算节点UpperCase将接收到的文本字符转换为大写形式并通过TCPIPClientOut put节点发送到Socket 1113。

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  • The returned document is parsed and the invocation criteria set up using a Compute node (for example) for input into a request-type node, which is then invoked.

    对返回的文档进行解析,并使用Compute节点(举例而言)设置调用标准以输入请求类型的节点,然后调用该节点。

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