Without a user threshold policy, you do not know if the number of concurrent users is approaching the maximum and how many users have not logged off when they are done with the cloud service.
如果没有用户阈值策略，就无法知道当前的用户数量是否接近最大数量，以及有多少用户在使用完云服务之后没有退出。
A user threshold policy checks how many users are concurrently logging in and off a cloud service type and whether they are approaching the maximum number of users as specified in a license.
用户阈值策略检查同时登录和退出云服务的用户数量，以及用户数量是否正在接近许可证指定的最大用户数量。
The threshold level is set below the maximum number of data requests and the maximum size of data requests that users can send concurrently.
这个临界值应该小于最大数据请求数和用户能够同时发送的最大数据请求大小。
Data request threshold policy: the provider sets data request threshold levels below the maximum number of data requests and the maximum size of data requests that users can send concurrently.
数据请求阀值策略：供应商将数据请求阀值水平，设置为低于数据请求的最大数量，以及用户可并发发送的数据请求的最大大小。
User threshold policy: the provider sets user threshold levels below the maximum number of users that can access concurrently.
用户阀值策略：供应商将用户阀值水平，设置为低于可以并发访问的最大用户数量。
Resource threshold policy: the provider sets resource threshold levels below the maximum number of additional resources to be consumed.
资源阀值策略：供应商将资源阀值水平，设置为低于其他可消费资源的最大数量。
The threshold level is set below the maximum number of additional resource instances that could be consumed.
这个临界值必须小于可使用的最大额外资源实例数。
The threshold level is set below the maximum number of additional resource instances that could be consumed.
这个临界值必须小于可使用的最大额外资源实例数。
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