更快速的启动和更少的内存占用。
“虚拟内存占用”一节将详细讨论这个问题。
The "Virtual memory footprint" sections discusses this in more detail.
内存使用的减少降低了内存占用。
Decrease in memory consumption reduces the memory footprint.
本文概述内存占用对Domino服务器性能的影响。
This article provides an overview of how memory usage affects Domino server performance.
下图的这4个程序有不同的内存需求和内存占用模式。
The four applications charted below all have very different memory needs, and different memory usage patterns.
处理较小的“控制”BO，这种BO的内存占用较小。
Process the smaller 'control' BO, which has a smaller memory footprint.
Gecko非常强大，但代价高昂，复杂，高内存占用。
Gecko has always been extraordinarily powerful, but its richest and most impressive capabilities originally came at a high cost in size, complexity, and memory overhead.
一般而言，句柄不应该对内存占用产生很大影响。
In general, handles should not make a significant contribution to footprint.
这两个修改级别在内存占用和用户界面方面做了很大的改进。
Both these modification levels made dramatic improvements on the memory footprints and the user interface.
这种方式可以减少一个业务对象的内存占用，从而提高性能。
That approach helps reduce the memory footprint of a business model, and it can improve performance.
更有可能是其他用于创建类实例的代码导致了过度的内存占用。
Most likely, other code is responsible for creating instances of the classes that have caused the extensive memory usage.
这个例子中，程序内存占用快速上升，直到产生程序内存溢出。
In this example the applications memory usage increased rapidly, to a point where the application simply ran out of memory.
服务器内存占用减少了，因为保持请求级别状态只需较少的对象。
Server memory footprint is reduced because there are fewer objects needed to maintain request level state.
同样的，音量控制、内存占用以及其他常用的系统自由都是如此。
Same goes for volume controls, memory usage, and other commonly used system resources.
根据影响软件组件内存占用情况的软件组件筛选数据结果。
Triage the data structures based on the software components that contribute to their consumption of memory.
这类硬件可能不支持多处理、大量内存占用或对物理存储的大量需求。
Such hardware may not be suited to multiprocessing, a large memory footprint, or significant demands on physical storage.
比如说，一个JVM可以启动更快，但另一个可能长期内存占用较低。
For instance, one JVM might be faster to start up, while the other may maintain lower memory consumption over the long run.
一些应用程序和框架还缓存反射对象，因此会增加它们的本机内存占用。
Some applications and frameworks also cache reflection objects, thereby increasing their native footprint.
新的原生用户界面也比原来的版本减少了内存占用，解决了一些性能和潜在的问题。
The new native user interface also uses much less memory than the previous version, and resolves some performance and latency problems.
虽然在创建P DF时，磁盘缓存减少了内存占用，但是速度变得更慢了。
Disk caching reduces the in-memory footprint while creating a PDF, but is slower.
这减少了迭代过程中的内存占用，因为堆栈深度始终保持一致，而不依赖于树的高度。
This reduces memory usage during the iteration because the stack depth is constant instead of dependent on the height of the tree.
这个二级对象会在程序需要的时候才创建，这样就会降低大多数一般情况下的内存占用。
This secondary object is created on an as-needed basis, thus reducing the memory footprint for the most common scenarios.
在内存占用方面的不同主要是因为我们对Domino7服务器所做的配置更改。
The differences in memory utilization are primarily related to the configuration changes we made for the Domino 7 server.
由于内存占用这么小，所以Derby数据库可以容易地与应用程序绑定在一起。
Given this small footprint, the Derby database can be easily bundled along with an application.
灰色加亮区显示，在热身阶段中，本机内存占用增加，然后随进程进入稳定状态而趋于平稳。
The grey highlight shows the warm-up phase where the native memory footprint increases and then flattens-off as the process reaches steady state.
但是得到的结果可能会造成误解，因为它并不意味着进程要消费所有这些内存占用。
However, the resulting number could be misleading because it doesn't mean that the process is consuming all that footprint.
所注册的服务器的管理服务被合并到管理代理中，从而减少了以前的重复服务的内存占用空间。
The administrative services of the registered servers are consolidated into the admin agent, thus reducing the memory footprint from previously duplicated services.
对于1500个Apple设备活动用户，处理器利用率为51%，内存占用为1.5GB。
For 1500 Apple devices active users, the processor utilization was about 51 percent and 1.5 GB memory usage.
除了改进Player的内存占用量以外，此次发布还对其他方面进行了大量的更新。
In addition to improving the overall footprint of the player, a number of other updates have been included in the release.
在您的企业基础结构中引入一个弹性数据网格将极大地减小每个应用程序服务器实例的内存占用。
The introduction of an elastic data grid into your enterprise infrastructure can dramatically reduce the memory footprint required for each application server instance.
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