按照定义的时间间隔检查当前内存使用量。
Note that at defined intervals, you're checking current memory usage.
评估2：评估不同工作负载下的内存使用量。
Evaluation 2: Evaluating the amount of the memory used in different workloads.
有许多Linux工具可以检查内存使用量。
Many tools exist for Linux users wanting to check memory usage.
svmon- p命令显示所有进程的内存使用量统计数据。
The svmon -p command displays the memory usage statistics for all the processes.
尽管提供了这么多的增强，内存使用量依然是非常小的。
Despite all these enhancements the memory footprint remains impressively small.
vmstat命令度量和记录测试期间CUP和虚拟内存使用量。
The vmstat command measures and records CPU and virtual memory usage during the tests.
在内存使用量与时间之间建立映射的时间线将揭示泄漏的严重程度。
A timeline mapping memory usage to time would reveal the severity of the leak.
这还有助于减少内存使用量，因为类型信息以本机机器表示法表示变量。
This also helps to reduce memory usage, since the type information represents variables in native machine representation.
在第二个评估场景中，我们将查看系统在每个工作负载下的内存使用量。
In our second evaluation scenario, we looked at how much memory the system used at each of the workloads.
这些最佳实践非常容易使用，能够显著改进应用程序的性能和内存使用量。
These best practices are very simple to use, and can provide you with considerable gains in performance and memory usage of your application.
信息量可能太大，由于内存使用量增加，UI选择对象无法有效地容纳它。
The amount of information may simply be too large for a UI selection object to hold it efficiently, due to increased memory usage.
如果不会导致进程内存使用量的增加，那么AIX将仅使用较大的页面大小。
AIX only USES the larger pages sized if it doesn't result in increasing process memory usage.
要特别注意平均负载、磁盘空间消耗量和内存使用量；然后，总结出变化趋势。
Pay particular attention to load average, disk space consumption, and memory usage; then, formulate trends.
但是，对于清单1中的示例代码，将只有一个结果，即当时的最高内存使用量。
For the example code in Listing 1, there would be only one result, however, which is the peak memory usage at that moment.
如果您的应用程序出现了内存泄漏，堆内存使用量将随时间稳步增长。
If a memory leak is present in your application, the heap memory usage steadily increases over time.
我们在一些配置中接近了最大内存使用量（这些配置的内存量较低）。
We reached the maximum amount of memory used in a few of the configurations (these configurations had lower amounts of memory).
这种水平的内存使用量远低于64位应用服务器的4GB内存限制。
This rate of memory usage is much less than the 4 GB memory limit for a 64-bit application server.
固定大小的堆不得小于应用程序的最大内存使用量，以避免出现内存不足的错误。
The fixed heap must be at least as big as the maximum memory usage of the application to avoid out-of-memory errors.
在运行脚本时，我们注意到一些与内存使用量相关的奇怪行为并需要将其检查出来。
When we run our script, we notice some odd behavior relating to memory usage and need to check it out.
默认情况下，Xdebug将显示时间、内存使用量、函数名和函数调用深度字段。
By default, Xdebug displays fields for time, memory usage, function name, and the depth of the function call.
如果内存使用量过大，那么AIX会把内存页面交换到分页空间(磁盘)。
If memory is overused (over-committed), then AIX will page to paging space (disk).
网络和内存使用量数据来自Solarisnetstat和prstat命令。
Network and memory utilization come from the Solaris netstat and prstat commands.
尽管这些工具提供的内存使用量视图并不完美，但是我们讲解了如何读懂数据的含义。
While these tools don't give a perfect view of memory usage, we've shown you how to read between the lines.
更快的启动速度和减少内存使用量并非创建自定义geronimo发行版的惟一理由。
Faster startup times and overblown memory aren't the only reasons for creating a customized Geronimo distribution.
为了应对这一变化，数据中心本身需要在电力、冷却和内存使用量方面加以改进。
The datacenter itself needed to be equipped to handle this change: power, cooling, and footprint.
正如前面提到的，top命令是在Linux上度量tomcat内存使用量的好工具。
As discussed earlier, the top command is a good tool for measuring the Tomcat footprint on Linux.
如果堆和应用程序的内存使用量很接近，那么垃圾收集器必须非常频繁地收集堆，这会导致性能损失。
If the heap is close to the memory usage of the application, the garbage collector has to collect the heap too often, and performance suffers.
这个分两部分的文章系列只讨论程序执行时间，不考虑执行程序时的其他重要性质，比如内存使用量。
This two-part article addresses only program-execution time. It doesn't consider other important execution characteristics, such as memory usage.
我们再次运行了脚本，在每次迭代期间使用memory_get_usage查看内存使用量的变化。
We ran the script again, using memory_get_usage to look at the changes in memory usage, during each iteration.
我们再次运行了脚本，在每次迭代期间使用memory_get_usage查看内存使用量的变化。
We ran the script again, using memory_get_usage to look at the changes in memory usage, during each iteration.
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