Hadoop能够处理数千个节点和pb量级的数据，可以自动地处理作业调度、部分失败和负载平衡，因此它是实现这个目标的完美工具。
Hadoop is a perfect tool to achieve this goal with its ability to work with thousands of nodes and petabytes of data and automatically handle job scheduling, partial failure, and load balancing.
应用程序数据部分包含所有实际消息数据(有效负载)和任何附加头，比如传输头或IMS信息头。
The application data section contains all actual message data (payload) and any additional headers, such as the transmission header or the IMS information header.
但是，由于许多原因，这常常是不可行的，比如工作负载限制、安全性和隐私规则，或者大部分数据是未知的。
However, there are many reasons which may make this impossible such as workload limitations, security and privacy rules, or if the data is largely unknown.
如果在发生部分站点故障时事务负载很重，要花几分钟才能重新启动受影响的实例和数据库。
If the transaction load was heavy at the time the partial site failure occurred, it can take several minutes to restart the instances and the databases affected.
然而，用SOAP，XML模式可以方便地用来指定新数据类型 （用complexType结构），然后那些新类型可以方便地用 XML表示，作为 SOAP有效负载的一部分。
With SOAP, however, XML schemas can be used to easily specify new data types (using the complexType structure), and those new types then can be easily represented in XML as part of a SOAP payload.
图1显示了服务的主要测试规范部分，该服务采用一个简单的Post Code字符串，并返回一个数据对象，预期的结果在一个简单的有效负载文件中指定。
Figure 1 shows the major test specification parts for a service that takes a simple PostCode string and returns a data object, the expected result being specified in a simple payload file.
其中包含三个主要组成部分：Header、有效负载和有效负载元数据。
They consist of three main components: a header, a payload, and payload metadata.
事件流是近年来兴起的一种对实时进入系统的海量数据进行分析查询的应用，而数据特征是评价系统所需要的负载模型的重要部分。
With background on network security monitoring, it presents an approach of aggregating event stream into time series and charactering data using similarity clustering.
事件流是近年来兴起的一种对实时进入系统的海量数据进行分析查询的应用，而数据特征是评价系统所需要的负载模型的重要部分。
With background on network security monitoring, it presents an approach of aggregating event stream into time series and charactering data using similarity clustering.
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