我们需要知道什么时候工作集接近内存的大小。
We need to know when working set is approaching the size of RAM.
这些部分将进入进程的工作集。
按文件类型设置工作集也是可行的。
首先，GC堆是你的工作集的一部分。
搜索基础现在支持工作集。
Working sets are now supported by the Search infrastructure.
数据库分组(工作集)。
如果您尚未设置工作集，可能会希望尝试一下。
创建工作集名称。
初始工作集是应用程序在启动期间消耗的内存页。
The initial working set is the memory pages the application consumes during startup.
工作集是系统上工作负载实际使用或需要的内存。
The working set is the memory actually used or required for the workload on your system.
LPAR工作集偶尔会增长，略微超过池的大小。
There were rare occasions where the LPARs working set would grow and be slightly larger than the size of the pool.
应用程序的工作集是RAM中当前可用的内存页的集合。
The working set of an application is the set of memory pages currently available in RAM.
可以将资源分组为工作集，这允许您仅处理所需要的资源。
The ability to group resources into working sets, which lets you work with only the resources you need.
当前可用的选项是分析整体工作区、工作集，或一组项目。
The available options currently analyze the entire workspace, a working set, or a set of projects. For this exercise.
相反的情况，我们就需要知道什么时候工作集最接近内存大小。
Rather, we need to know when working set is approaching the size of ram.
当前可用的选项分析了整个工作区、一个工作集、或者一组项目。
The currently available options analyze the entire workspace, a working set, or a set of projects.
工作集也非常灵活，并且允许您随着时间的推移而更改其中的成员。
Working sets are also flexible and let you change membership over time.
在NewWorkingSet向导中，输入新工作集的名称。
In the new working set wizard, enter a name for your new working set.
消息流程的工作集可能很大，因此，所需的物理内存的数量也可能很大。
The working set of message flows can be substantial and, consequently, so might the amount of physical memory that is required.
我们看到过很多内部代码，使用值类型来提高性能，同时减小工作集大小。
We've seen some internal code where making it inline (ie, as a value type) improved perf as it decreased working set.
这两个LPAR 的工作集大约为 9.3GB，这与池的大小相适应。
The working set for both LPARs came to roughly 9.3GB, which would fit nicely into the pool.
vadump - os - p命令显示给定的进程ID的工作集信息。
The command vadump -os -p shows the working set for a given process ID.
在这种情况下，所有LPAR的工作集内存需求可以超过池中的物理内存量。
In this scenario, the working set memory requirements of all LPARs can exceed the physical memory in the pool.
改进了运行。NET客户端应用程序所需工作集大小和启动时间。
Improved Working Set and Startup for.net Client applications.
如果您不能及早识别一个工作集，则延迟加载就是填补缓存的下一个最佳选择。
If you cannot identify a working set ahead of time, then a lazy load is the next best option for filling a cache.
clearcase流允许您将一个离散的工作集从其它的工作种分离出来。
ClearCase streams allow you to isolate a discrete set of work from other efforts.
如果这两个LPAR的工作集总和小于或等于池的大小，那么不会发生过量使用。
If the working set of both LPARs remains less than or equal to the pool size, then the there is no over-commit.
如果LPAR的工作集比池大很多，那么会发生大量分页操作，性能会显著下降。
If the working set of the LPARs becomes much larger than the size of the pool, then there will be lots of paging and performance could suffer greatly.
只需稍加处理，多玩家在线游戏的大多数工作集就可以放在一个大系统的主内存中。
With a little care, most of the working set of a multiplayer online game can be pulled into the main memory of a large system.
LPAR1在大多数时候相当空闲，根据它的工作集，它并不需要4GB的内存。
LPAR1 was relatively idle most of the time and, based on its working set, did not require all 4gb of memory.
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