The probe response time (end user response time)
探针（probe）响应时间（和用户响应时间）
Debugging methodology for single-user response time issues.
针对单用户响应时间问题的调试方法。
80% of the end-user response time is spent on the front-end.
80%的最终用户响应时间花在前端上。
This metric simulates and is the best indicator of end user response time.
这一指标模拟了最终用户的响应时间，并且是反映最终用户响应时间的最佳指标。
For both set of tests one second was used as the acceptable user response time.
每组测试中，可接受用户响应时间都为一秒。
There's an incremental impact of port encryption on end-user response time.
端口加密对最终用户响应时间的影响随用户数增大而增大。
As with any Web application, user response time depends on a combination of factors.
对于任何Web应用程序，用户响应时间都取决于以下因素的综合。
Keep cookie sizes as low as possible to minimize the impact on the user response time.
保持Cookie大小以尽量减低对用户响应时间的影响尽可能低。
Many organizations measure end user response time to get an overall perspective of performance.
许多组织通过测量最终用户的响应时间来获得总体的性能情况。
The Server.Planner probe response time should not exceed 5 seconds (this is the end user response time)
Planner探针响应时间不应超过5秒（这是最终用户的响应时间）
Remember that 80-90% of the end-user response time is spent downloading all the components in the page: images, stylesheets, scripts, Flash, etc.
请记住80 90%的最终用户响应时间用于下载页中的所有组件：图像、样式表、脚本，闪速，等。
This test scenario compared average user response times, probe response time, system CPU utilization, memory used, and disk utilization at various loads.
该测试场景比较各种负载情况下的平均用户响应时间、探针响应时间、系统cpu利用率、占用的内存和磁盘利用率。
We collected feedback about the improved end-user response time from our users (through the feedback link that appears at the bottom of every page on our site).
我们通过用户收集关于终端用户响应时间改进的反馈(通过站点中每个页面底部的反馈链接)。
Faster data access makes your applications run faster, so you have better user response time, better application throughput, and a better ability to support more users.
更快的数据访问可以让应用程序运行的更快，因此能获得更好的用户响应时间，更好的应用程序吞吐量，更强大的支持更多用户的能力。
Moreover, the tests confirmed significant improvements in response time for various requests, which can improve user response times when they are connecting using reasonable bandwidth.
此外，该测试证实了，对于各种请求的响应时间有明显的优化，也因此缩短了具有合理带宽的连接用户的响应时间。
Transactions must offer the user excellent response time, so these applications should not be made to wait long for the resources they need.
事务必须为用户提供极好的响应时间，这样应用程序才不致于要长时间地等待它们所需的资源。
Updating the view locally on the client saves round trips to the server, shortens response time by orders of magnitude, and dramatically improves the user experience.
更新客户机本地视图省去了往返服务器的过程，缩短了几个数量级的响应时间，而且极大地改善了用户体验。
It can increase the number of transactions that can be processed, provide faster server response time, and enable servers to handle larger workloads and more user requests.
它可以增加可处理的事务的数目，提供更快的服务器响应时间，并支持服务器处理更大的工作负载和更多的用户请求。
The additional CPUs, amount of level two cache, and memory provided better capacity and response time at specific user loads.
额外的CPU、二级缓存量和内存，在特定用户负载下可提供更好的容量和响应时间。
Notice that in the following graphic, as the amount of the processor used increases with the increasing user load, it affects response time.
注意，在下图中，当处理器使用量随着不断增长的用户负载增长时，它将影响响应时间。
For example the user might want to specify the target average response time of each transaction, or more usually target average response time with a percentile.
例如，用户可能希望指定每个事务的目标平均响应时间，或者更通常的是指定百分比目标平均响应时间。
Response time is one measurement that gets a lot of attention, and tuning your portal to provide a consistent response time range with the expected volume of user load is your ultimate goal.
响应时间是一项受到普遍关注的度量，而您的最终目标是对门户进行优化，以便在预期的用户负载情况下，提供一致的响应时间范围。
In this test case, we accessed processor load and response time for various user loads.
在这个测试案例中，我们评估各种用户负载下的处理器负载和响应时间。
Less statistical fluctuation in response time produces a more consistent end user experience.
响应时间上较少的统计波动将产生更稳定的终端用户体验。
Response time warnings indicates the number of transactions that fall under the user specified warning threshold.
响应时间警告表示用户指定警告阈值内的失败事务数量。
Basically there are two different approaches to monitor applications' availability and response time, one is real end user transactions monitoring, and the other is proactive monitoring.
基本上，有两种不同的方法可以监视应用程序的可用性和响应时间，第一种方法是对真实的最终用户的事务进行监视，另一种是主动监视。
If the service requestor sent a large number of logging messages within the scope of a user transaction, then the user would experience a long response time.
如果服务请求者在用户事务范围内发送大量的登录消息，用户就要等待很长的响应时间。
The user receives faster response time for an HTTP request.
用户HTTP请求的响应时间也会加快。
The fact is that one can no longer assume that the user experience of response time will be adequately predicted by the server response time.
事实上，人们不再能够假设，服务器响应时间已经足够预测响应时间的用户经验了 。
The user perceives the faster response-time as speed.
用户把更快的响应时间理解为速度。
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