Processing large messages tends to be more complex.
较大的消息的处理常常更为复杂。
Use a dedicated server for processing large messages.
使用专用服务器处理大消息。
Network bandwidth can be a limiting factor when processing large messages.
处理大消息时，网络带宽可能是一个限制因素。
There are two properties that need to be considered when processing large messages.
处理大消息时需要考虑两个属性。
This section provides a number of design patterns to improve performance for processing of large messages.
本节提供几个设计模式，以提高大消息处理性能。
You Can adjust the Disk Space preference to prevent the downloading of large messages.
还可以调整“磁盘空间”首选项，以防止下载大型消息。
Typically, large messages are composed of multiple smaller messages, which have to be processed individually.
较大的消息常常由必须被分别处理的多个较小的消息组成。
This section provides information on the main considerations and affecting factors when processing large messages.
本节提供关于处理大型对象时的主要注意事项和影响因素的信息。
Processing a number of large messages, especially when running with concurrent threads, can lead to JVM Heap exhaustion.
处理一些大消息，特别是使用并发线程运行时，可能会导致JVMheap耗尽。
In general, we do not recommend passing large messages through Process Server and WebSphere ESB, especially if they are not doing anything useful.
一般而言，我们不推荐通过ProcessServer和WebSphereESB传递大容量消息，特别是在它们没有多少用处时。
For example, POP3's single mailbox model can lead to thousands of large messages in a single location, making access and control of the mailbox a tedious affair.
例如，POP3的单一邮箱模型会导致数千条大型消息都处于一个位置，从而使得对邮箱的访问和控制成了件麻烦事。
Throttling incoming client requests with large messages to arrive sequentially into WebSphere ESB can be achieved by a front end server such as a DataPower appliance for instance.
限制包含大消息的入站客户机请求、使其顺序进入WebSphereESB可以通过DataPower设备这样的前端服务器实现。
Large messages, up to the buffer capacity of the sending and receiving devices, are supported using Fragmentation and Reassembly.
应用分割和重组可支持大量消息(大到发送设备和接收设备的缓冲区容量)的收发。
Large messages, up to the buffer capacity of the sending and receiving devices, are supported using Fragmentation and Reassembly.
应用分割和重组可支持大量消息(大到发送设备和接收设备的缓冲区容量)的收发。
应用推荐