ITworld explains the bottleneck problem.
IT World阐述了瓶颈问题。
It is the disk write speed that causes the bottleneck.
而只有磁盘写入速率才会造成瓶颈。
By identifying the bottleneck, you identify which resource is limited.
通过识别瓶颈，您可以识别哪个资源是有限的。
All the technique described above can be used to identify the bottleneck.
可以使用上面描述的所有技术来识别瓶颈。
Because typing is not now and never has been the bottleneck in writing code.
因为打字现在不是，永远也不是编写代码的瓶颈所在。
Even though the task takes longer, the bottleneck is removed and tokens no longer queue up.
即使任务占用的时间较长，但消除了瓶颈，并且令牌不用再排队。
You need to understand this queue system and find out the bottleneck in the pipe.
您需要理解这个队列系统并找出通道中的瓶颈。
The tuning that you do is dependent on the bottleneck, for example, CPU, virtual memory, or I/O.
具体的瓶颈将决定您需要进行的优化工作，例如，CPU、虚拟内存或者I/O。
If the bottleneck lies with your Web server, you may decide to simply add more Web machines to your network.
如果瓶颈在于您的Web服务器，您可以简单地决定在您的网络中添加更多的Web机器。
This would give a theoretical capacity of 154 requests per second, pushing the bottleneck to the database.
这会把理论容量提高到每秒154个请求，瓶颈位置就会转到数据库。
You do not want to tune your CPU unless the data that you've compiled clearly shows that CPU is the bottleneck.
除非所搜集的数据清楚地表明CPU是瓶颈，否则并不希望进行CPU优化。
The yellow exclamation mark indicates that this component is the bottleneck for the whole chain (see Figure 7).
黄色的感叹号表示该组件是整个链的瓶颈(请参见图7)。
The component that is the bottleneck is the component immediately following the queue that is experiencing build-up.
发生事件堆积的队列后的组件就是瓶颈组件。
CPU-bound means that the CPU is the bottleneck to getting the job done, so a faster CPU completes the action faster.
CPU - bound意味着CPU是完成工作的瓶颈，因此一个更快的CPU会更快地完成动作。
Alternating between a deterministic and a non-deterministic node selection effectively solves the bottleneck problem.
确定与非确定性节点选择交替有效地解决了瓶颈问题。
More importantly, how do you really know if what you've tuned has helped the bottleneck without looking at the data?
更重要的是，如果不观察数据，您如何能确实了解所作的调整是否有助于解除瓶颈？
The Domino Performance Team is committed to ensuring that Domino is not the bottleneck when it comes to Linux scalability.
Domino性能团队致力于确保Domino不成为Linux可伸缩性的瓶颈。
The key is to maintain a capacity similar to the bottleneck and speed up the bottleneck first to get closer to the top capacity.
关键在于保持与瓶颈相同的处理能力，并先让瓶颈提速，让整个 系统向最高处理能力接近。
Since the mid-1990s it has become obvious that the bottleneck would need to be cleared, or the canal would become a backwater.
90年代中期以来，这一瓶颈问题愈发突出，运河亟需扩建疏导，否则将变成死水。
In this case, there's no point in making the rest of your systems deliver any more, unless you can widen or sidestep the bottleneck.
在这种情况下，提交系统其余的部分没有任何意义，除非你可以扩大或者回避这个瓶颈。
The database ultimately proved to be the bottleneck, but given on the performance we are getting, this is something we can live with.
最终证明数据库是瓶颈，但鉴于我们得到的性能，还是可以忍受的。
Finally, after you've identified the bottleneck, it is time to tune it. For a CPU bottleneck, that usually means one of four solutions.
在您最终确定瓶颈之后，就到了对瓶颈进行调整的时候了。
Gamers aren't alone. Any application that pushes a lot of data becomes extremely inefficient when an Internet connection is the bottleneck.
不仅仅是游戏玩家，当网络连接成为性能瓶颈时，任何需要使用大量数据的应用程序都变得极端低效。
The performance statistics are logically interlinked due to the nature of ARM, thus the bottleneck in the SCA invocation can be better detected.
由于ARM的性质，性能统计信息逻辑地相互联系在一起，从而可以更好地检测SCA调用中的瓶颈。
Now, according to ITworld, two researchers have created an algorithm that may solve a major problem in distributed networking: the bottleneck problem.
如今，根据ITWorld的报道，两名研究员发现了一种算法，可能可以解决分布式网络中的一个主要问题：瓶颈问题。
Traffic had already backed up at the East Coast's perennial chokepoint: the Interstate 95 toll plaza in Newark, Del., where construction is adding to the bottleneck.
在东海岸的长期的阻塞黑点——特拉华州纽瓦克95州际公路的收费处，交通已经堵塞，建筑施工更加重了瓶颈效应。
Traffic had already backed up at the East Coast's perennial chokepoint: the Interstate 95 toll plaza in Newark, Del. , where construction is adding to the bottleneck.
在东海岸的长期的阻塞黑点——特拉华州纽瓦克95州际公路的收费处，交通已经堵塞，建筑施工更加重了瓶颈效应。
If bottlenecks are found, and addressing the bottleneck will only improve performance by 5 or 10 percent, you should assume that time would be better spent elsewhere.
如果找到了一些瓶颈，但是克服瓶颈的措施只使性能提高了百分之五或百分之十，那么就说明应该将精力花在别的地方了。
For components 1, 2, 3, 4, and 6, the preset local processing time is 0.5 second; for component 5, the time is 3 seconds, which is the point where the bottleneck resides.
对于组件1、2、3、4和6，预设的本地处理时间为0.5秒；对于组件5，该时间为3秒，是瓶颈之所在。
In other words, once you identify the bottleneck, you can then determine the performance metrics that are key to sizing the infrastructure — the "how fast" and "how many."
换句话说，识别出瓶颈之后，就可以判断对基础结构规模评估最重要的性能指标——速度和容量。
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