Response times were measured in seconds.
响应时间是以秒为单位进行测量的。
Response times are measured and recorded.
测量并记录响应时间。
Few users tolerate lengthy response times.
很少有用户能够忍受太长的响应时间。
Response times of portlet action requests.
Portlet操作请求的响应时间。
Response times of portlet render requests.
Portlet呈现请求的响应时间。
Response times of 1.5, 1.1, and 0.8 seconds.
与0.8秒情况下的响应时间。
Response times of 1.75, 1.25, and 0.75 seconds.
与0.75秒情况下的响应时间。
Figure 2d: Response times of the 500k repository.
图2d . 500k储存库的响应时间。
Figure 2c: Response times of the 250k repository.
图2c . 250k储存库的响应时间。
Performance â “ measures throughput and response times
性能——测量吞吐量和响应时间
Performance testing: Throughput or response times.
性能测试：吞吐量或者相应时间。
Think about throughput, response times, and pause times.
考虑吞吐量、响应时间和停顿时间。
Response times were measured both with and without GZIP enabled.
响应时间在启用和不启用GZIP的情况下都可以测量。
Finally, Figure 4 shows the maximum response times for both policies.
最后，图4显示了两种策略的最大响应时间。
This tuning step greatly improves the response times of BPC API queries.
这个调优步骤将极大地改进BPCAPI查询的响应时间。
In our testing, we observed up to 25% improvement in average response times.
在我们的测试中，我们发现平均响应时间提高了25%。
Compression reduces response times by reducing the size of the HTTP response.
压缩减少响应时间通过减少HTTP响应的大小。
You're typically interested in response times, throughput rates, and downtime.
您通常会关注响应时间、吞吐率和宕机时间。
User response times were less than 0.20 seconds for all three active user loads.
对于所有三种活动用户负载，用户响应时间均小于 0.20秒。
This will result in better response times, as well as improved resource utilization.
这样做将得到更快的响应速度，同时提高资源的利用率。
Any query that utilizes the Primary Index column will encounter faster response times.
任何利用主索引列的查询将会遭遇更快速响应时间问题。
These longer response times were a reflection of heavier computation requirements.
这么久时间反映了高强度的计算量。
You may choose to tune for throughput, or response times, or some combination of the two.
您可能选择针对吞吐量进行调优，或响应时间，或二者的某种组合。
The response times gathered during the ramping phase will not be included in the metrics.
间歇阶段中总共的响应时间没有包含在方法之中。
What if you're more concerned about application response times than application throughput?
与应用程序吞吐量相比，如果您更关心应用程序响应时间又会怎样呢？
But is there a way to build pages with richer content while also achieving fast response times?
但是，是有一个，创造更丰富的内容的页面，同时也实现快速响应时间的方法吗？
For this reason, pause times are not necessarily a good indicator of the expected response times.
基于这个原因，停顿时间不一定能够很好地反映期望的响应时间。
This would cause major performance degradation, and lead to longer response times from the server.
这会造成性能急剧下降，并且服务器响应时间会加长。
Because of this separation, DAOS can use lower-cost disks without affecting overall response times.
由于这种分离，DAOS可以使用更低成本的磁盘而不影响整体响应时间。
Response times were good and CPU utilizations quickly reached steady state, settling at or below 65%.
测试的响应时间良好，CPU使用率很快稳定在65%以下水平。
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