要知道错误检查只有在编组时进行，这意味着只要还在内存中，错误数据就可以自由地存在于这些成员变量之中等待编组。
Remember that error-checking only happens during marshalling -- this means that erroneous data can be floating around in these member variables while they are in memory, awaiting marshalling.
不能正常工作的网卡、硬盘或内存，都可能导致系统花费很长的时间等待信息。
A bad network card, hard drive, or memory might result in your system spending a long time waiting for information.
吞吐量问题通常是由处理请求期间因为争用资源(CPU、内存、硬盘、线程池、连接池等)而导致的等待时间增加所引起的。
Throughput issues are generally caused by increased wait time during request processing due to contention of resources (CPU, memory, disk, thread pool, connection pool, etc.).
b——在您指定的时间间隔内，位于虚拟内存等待队列中的内核线程的平均数量。
B-the average number of kernel threads that are in the virtual memory waiting queue over your timing interval.
工作流不会在内存中挂起，不会阻塞线程，也不会在等待输入时耗尽进程。
The workflow doesn't hang around in memory blocking a thread and using up a process while it's waiting for input.
服务和应用程序实际上在运行、监听，等待Geronimo需要它们的时机，因此占据着宝贵的CPU时钟周期和内存中的晶体管。
The services and applications are running, listening, and waiting for the time they are needed by Geronimo, taking up valuable clock cycles from your CPU and hogging transistors in memory.
而且，通过接收停止事件，我们能够避免在内存中保留事件或等待相关的事件。
Moreover, by receiving the stop events, we could avoid keeping the events in memory and waiting for related events.
最终的结果是，应用程序永远不用等数据，因为数据总是在本地内存中等待应用程序来取。
The end result is that the application is never waiting for data as it is always available in local memory to be fetched.
避免在处理器中释放内存的最好方法是，标记或记录将要释放的对象，让程序不间断地检查是否有等待被释放的内存。
The best way to avoid freeing memory in a handler is to flag or record the objects to be freed and have the program check from time to time whether anything is waiting to be freed.
当程序执行导致命令不能从快取内存中找到时，需要从主内存中找到命令，那是微处理器就停下来等待。
When the program execution leads to instructions not in the cache, then the instructions need to be fetched from the main memory and the microprocessor has to stop and wait.
b——采样期间在虚拟内存中等待队列的平均内核线程数。
B — the average number of kernel threads that are in the virtual memory waiting queue over your sampling interval.
如果内存存在多于一个进程，那么其余进程就会要等待，当CPU空闲的时候，就重新开始调度。
If there are more processes, the rest will have to wait until the CPU is free and can be rescheduled.
如果您希望以枚举和分配内存来跟踪这么多的文件资源管理器，您打算在等待。
If you expect Explorer to enumerate and allocate memory to track this many files, you're going to be waiting.
如果你的云系统支持此功能，把这个列表放入内存(“自定义设置”)来减少磁盘读取的等待时间。
If your cloud system supports it, keep this table in memory (" custom Settings ") versus on-disk for lower latency.
但随之带来了访问内存时出现等待周期的问题。
如果应用程序用完第0代的内存，而并行收集还没有进行完毕，那么应用程序不得不暂停下来，等待并行收集的完成。
If the application exhausts the memory of gen 0, and the concurrent collection is not finished, then the application has to suspend to wait for the concurrent collection finishes.
这个脚本文件只会保存在那儿，载入到浏览器的内存中，等待其它的一个脚本得到调用。
It will just sit there, loaded into the browser's memory, waiting for one of the scripts inside to be called.
这样就可以利用发送与采集过程的等待时间计算刺激数据，提高了软件的反应速度，减少了内存消耗。
Thus we can utilize the idle time of IO course to compute the excitation data in order to improve the response speed of software and reduce the consumption of memory.
这样就可以利用发送与采集过程的等待时间计算刺激数据，提高了软件的反应速度，减少了内存消耗。
Thus we can utilize the idle time of IO course to compute the excitation data in order to improve the response speed of software and reduce the consumption of memory.
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