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。
The payload is then passed in as is (binary data) to the compute node you will create shortly.
这两个组在安装过程中用来确保执行存储节点角色的服务器可以接收特定的二进制文件和配置文件，这在下面会详细进行介绍。
These groups are used during installation to ensure servers that perform storage node roles receive specific binary files and configuration files, which are detailed below.
每个CDATA部分、注释、处理指令和非叶节点都被分配一个二进制代码字。
Each CDATA section, comment, processing instruction, and non-leaf node is assigned a binary codeword.
这个节点类型表示JCRWiki条目中的图片和其他二进制内容。
This node type represents images and other binary content in a JCRWiki entry.
例如，您可以为一个二进制树建立类型Node两个指针指向左右子节点。
As an example, you will model a class node for a binary tree, with 2 Pointers to the left and right child nodes.
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。
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.
XML是以二进制格式存储在数据库中的，文本节点被存储为utf - 8代码点。
XML is stored in the database in a binary format, and the text nodes are stored as UTF-8 code points.
WebSphereVirtualEnterprise通常将应用程序二进制文件安装到目标动态集群的每一个节点成员的相应概要文件中。
WebSphere Virtual Enterprise normally installs the application binaries in the appropriate profile of every node that is a member of the target dynamic cluster.
部署在模式中时，可扩展节点部件创建一个虚拟机实例，其中只有WebSphereProcessserver二进制代码。
When deployed in a pattern, the Extendable nodes part creates a virtual machine instance where only the WebSphere Process Server binaries exist.
从原始结构着手，通过使用二进制组合算法来产生一系列具有不同节点分布的子结构，即拓扑组。
Starting with a ground structure, we use binary number combinatorial algorithm to generate a number of topologies, which are a sequence of substructures with different node distributions.
首先，基于流体流理论建立了单瓶颈节点的二进制ABR流的网络模型。
The main contributions of this paper are as follows:Firstly, the binary ABR congestion control model is deduced based on the flow theory.
二进制搜索的财产是左树的每一个节点，每个节点是小右大。
Binary Search property is every node on left tree is lesser and every node on right is greater.
二进制搜索的财产是左树的每一个节点，每个节点是小右大。
Binary Search property is every node on left tree is lesser and every node on right is greater.
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