Query throughput scaled with concurrent users.
查询吞吐量随并发用户数量伸缩。
How many concurrent users can access your software system?
您的软件系统可供多少用户同时访问？
The average request response time for 200 concurrent users is 1,381 ms.
对于200个并发用户的平均请求响应时间是1,381ms。
Tests were conducted with 25, 50, 75, 100, 125, and 150 concurrent users.
测试分别采用25、50、75、100、125和150个并发用户。
For example, to emulate 5 concurrent users, 5 Thread Groups were specified.
例如，模拟5个并发用户，需要指定5个Thread Group。
One hundred concurrent users are used at each of the stages shown in Table 4.
在每个阶段使用100个并发用户，见表4。
This parameter should be set to 50 if you are expecting 1000 concurrent users.
如果期望1000个并发用户，将该参数设置为50。
The classic discussion application database scaled up to 200 concurrent users.
这个经典的讨论应用程序数据库可扩展至 200个并发用户。
Number of concurrent users accessing WHO classifications within your organization.
你的组织中同时进入世卫组织分类的用户数量。
The maximum thread pool limit is your theoretical maximum number of concurrent users.
最大的线程池限制是并发用户的最大理论数量。
A good starting value for Maximum connections for a load of 100-500 concurrent users is 30.
对于负载量为100- 500个并发用户来说，比较适宜的Maximumconnections初始值为30。
Mixed transaction throughput also scaled with concurrent users and flattened at about 2000 TPS.
混合事务吞吐量也随并发用户数量伸缩，直到大约2000 tps。
The initial published performance data shows a configuration that supports 200 concurrent users.
最初发布的性能数据显示一个支持200位并发用户的配置。
This component was repeated as required in a test plan to emulate a specific number of concurrent users.
该组件按照测试计划的要求进行重复，以模拟一个特定数目的并发用户。
The best performance with a mixed workload was also achieved with 150 concurrent users, as shown in Figure 4.
混合工作负载最好的性能也出现在有150个并发用户时，见图4。
It's efficient and proven to scale to millions of concurrent users on a single service (such as Google's GTalk).
它很高效，并且被证明可以在一个单独的服务上扩展到数百万的并发用户(比如Google的GTalk)。
The nature of the performance impact of concurrent users proved to be quite different from that of large databases.
测试证明，并发用户对性能的影响在本质上与大型数据库对性能的影响存在很大的差异。
Another key aspect was the potential to ramp up the scalability as the number of concurrent users started to increase.
另一个关键因素是，随着并发用户数量的增加，可能需要很高的可伸缩性。
If the number of concurrent users exceeds 100 and there is performance degradation, this would be a candidate for load-balancing.
如果并发用户的数量超过100，性能有所下降，这可以是负载平衡的一种候选方案。
This causes the server to create the necessary connections to handle a large number of concurrent users immediately after startup.
这样使得服务器可以在启动后立即创建处理大量并发用户所必需的连接。
Sun machines have already proven their CPU scalability in supporting a high number of concurrent users with Domino server partitions.
对于使用Domino服务器，Sun机器已经证明其支持大量并发用户的CPU可伸缩性。
The policy must state that the number of concurrent users is in proportion to the number of resource instances available to the users.
该策略必须声明并发用户数量与用户可用资源实例数量成正比。
The team used the SilkPerformer tool to drive 10 concurrent users, each executing the same workload using unique tables for each user.
该团队使用了SilkPerformer工具驱动10 个并发用户，每个用户都使用特定于该用户的惟一表执行相同工作量。
We also discuss the scalability benefits the fenced wrapper can bring to federated servers supporting a high number of concurrent users.
我们还将讨论设防的包装器在可伸缩性方面为支持大量并发用户的联邦服务器带来的一些好处。
And, since the "boss" expects this to be a massively popular application, it should handle 50,000 concurrent users. Let's look at the code.
由于“老板”希望该应用程序成为一个广泛流行的应用程序，因此它应该能处理50,000个并发用户。
JMeter test plans were devised to emulate a variety of concurrent user loads, from a single user through to a maximum of 80 concurrent users.
JMeter测试计划被设计用于模拟多种并发用户负载，从单一用户到最大为80个并发用户。
The current runtime easily supports hundreds of concurrent users with a simple cluster, and JRuby performance has been getting faster all the time.
通过简单的集群，当前的运行时可以很轻松地支持成百个并发用户，并且JRuby的执行效率在一直不断得到改善。
Mode: Specifies the type of access allowed for the lock owner as well as the type of access permitted for concurrent users of the locked data resource.
方式：指定了锁的拥有者所允许的访问类型，以及对锁定数据资源的并发用户许可的访问类型。
Performance analysis conducted at that load indicates that the XPages runtime itself did not limit the scaling of concurrent users on this application.
在此负载水平上的性能分析显示，XPages运行时本身不限制应用程序并发用户的增加。
Performance analysis conducted at that load indicates that the XPages runtime itself did not limit the scaling of concurrent users on this application.
在此负载水平上的性能分析显示，XPages运行时本身不限制应用程序并发用户的增加。
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