Online user management is the most vulnerable but often problematic module in Portal authentication systems. It only appears to show how many people are online today, and indeed the accuracy of online data directly affects several things: whether a person can actually kick down when an administrator makes a forced downline operation. The number on-line does not match the point, not the point of displaying, which would render all the above functions discredited.
Why isn't online numbers right?
The online numbers are not accurate, most of the cases are not system wrong, but end-of-session sessions are not perceived in time. Users turn off wirelesss, exit the overlay area, and break their cell phone screens, where terminals often do not send a clear exit notice, and meetings seen on the side of the system are still hanging. If no downline event is reported, the session will remain on the online list until it is recycled by an overtime mechanism.
The bottom function is affected by the docking mode
The manager makes a forced downline on the platform, essentially by allowing access devices to break a session. The success of this action depends on whether the connection is supported and correct. In the docking configuration, the selection of equipment vendors affects the downlink function, wrong or inaccurately selects the bottom line, which may be non-responsive or shows that the downlink has been successful but the user is still online. So this cannot be considered an ex post facto check item, and must be validated at the docking stage: a test account is built, certified through, followed by a downlink confirming that the terminal is broken and requires recertification.
Time-out recovery mechanism to be configured proactively
Since each terminal cannot be expected to leave notice in a regular fashion, it is time-consuming. The system needs a mechanism to determine whether the session is still alive. It is considered invalid and recovered if it has not been active for some time or if no equipment has been updated. The window is too long, the number online is inflated, capacity judgement is lost; it is too short for normal users to be wrongly offline and kicked off the Internet because of temporary network fluctuations.
You can't have a chain on the Internet.
The first is affected by multiple terminal restrictions. Many projects limit the number of online terminals for an account at the same time, preventing them from sharing accounts. This judgement relies entirely on accurate online session sheets. If a regular user has a bunch of unrecovered zombie sessions in the table, it is decided that a new phone will be over-end and directly rejected.
Check the order of an anomaly in online numbers
When it is found that the number of online numbers is manifestly unreasonable, it is recommended to check whether the ratio is normal by comparing recent successful certifications in the authentication record with current online quantities; then sample specific entries on the online list for any session where there is no flow update over a long period of time; then confirm that the meeting status and side of the interface are consistent, depending on the side of the device; and finally check if the time-consuming recovery parameter is set and effective. In this order, most cases, it can be traced to whether the mechanism has not been implemented or the equipment has not been reported.
How do you use the online data?
The value of online data is not just a figure. Keeping in view the daily changes in the number of online numbers, you can see when the peaks are at which point and how much they might be, is the most direct basis for capacity planning. Observing the distribution of online terminals on individual accounts makes it possible to judge whether multi-end strategies fit or not.
You need to have a description of the operation.
The forced downline is a move that makes users noticeably aware of when to use it, who has the permission to use it and whether to notify them afterwards. It must be pre-defined and written into an operation manual. Abuse of the offline will cause a large number of complaints, especially when users are being kicked while they are using it; it may not be necessary or impossible to do anything in case of unusual meetings.
Online numbers and business statistics are not the same thing.
When looking at online numbers, it is a moment-time value, and business analysis depends on statistical values. The system provides statistical analyses that include indicators of the number of daily terminals, monthly life terminals, registered users, fee-based users, continued cost households, end-of-service users, which reflect a period of accumulation and are different from how many people are online today. Using online numbers to determine business performance makes it easy to draw erroneous conclusions, such as that eight-points in the morning are low for no user, but perhaps not yet available.