Method and system for determining whether client is on-line or not in B/S architecture

Abstract

The invention provides a method for determining whether a client is on-line or not in a B / S architecture, which comprises the following steps: when a client sends a pre-logout request to a server, the server puts the pre-logout request into a pre-logout session queue; and the server periodically polls the pre-logout session queue and a normal session queue to determine whether the client is on-line or not. By adopting the scheme, no matter what the type of a browser used by a user and in which mode the user exits, an authorized control component can acquire the accurate number of on-line users by calling interfaces based on the scheme, thereby realizing commercial authorization.

Description

technical field [0001] The present invention relates to network technology, and more specifically relates to a method and a system for determining whether a client is online in a B / S structure. Background technique [0002] Commercial B / S application software often needs to be authorized for the number of online users, which requires real-time and accurate statistics of the current number of online users. However, the traditional solution cannot make accurate statistics on the user's operating habits and terminal emergencies. Can only be a rough estimate based on the number of user sessions on the server side. [0003] With the rapid development of web2.0 technology, browser-based applications are becoming larger and more complex. Most of the commercial software is faced with the problem of end-user authorization control. Since traditional web applications identify the user's login status by maintaining a "session" on the server side, it is necessary for the terminal brow...

AI Technical Summary

Problems solved by technology

This location-by-location scheme depends on the browser interface settings used by the user, and the operation mode is different (for example, some end users are accustomed to double-clicking the upper left icon to close the browser), and there are still great defects.

At the same time, special cases such as browser crashes and users killing processes by mistake cannot be solved

[0009] Based on the above existing solutions, there will be inaccurate statistics on the number of users, and users will be displayed online for a long time even though they log out. This is a big problem that cannot be ignored in commercial authorization applications.

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