Cloud-computing-based billing system and implementation method thereof

Abstract

The invention discloses a cloud-computing-based billing system and an implementation method thereof. According to the cloud-computing-based billing system, distribution servers and a load balancer, which have cloud characteristics are adopted, and under the control of the load balancer, real-time state information of each host computer in a cluster system is sent to different distribution servers, and then sent to a billing server for processing to obtain a billing result. Therefore, the billing system can dynamically apply for adding distribution server resources when the system is busy or the resources are short, and automatically release the resources when the system is idle, and distribution and access according to needs are achieved; a dynamic elastic expansion system can easily meet demands of future users and demands on large-scale business growth.

Description

technical field [0001] The present invention relates to the technical field of cloud computing and cloud computing operation system, in particular to a cloud computing-based billing system and its implementation method. Background technique [0002] With the large-scale cutover of intelligent network users to OCS (Online Charging System, Online Charging System), the scale of users carried by the OCS system will continue to increase. At the same time, with the rapid development of 3G services, the number of 3G users The rapid growth has brought about a sharp increase in data traffic access, and a large amount of data traffic access has brought great pressure to the load of the OCS system. [0003] The existing technology generally adopts the expansion of the OCS system to improve the system carrying capacity, which has the problem of high cost; or uses the minicomputer-based HA (High Available, high availability cluster), but this method has the following disadvantages: [0...

AI Technical Summary

Problems solved by technology

[0003] The existing technology generally adopts the expansion of the OCS system to improve the system carrying capacity, which has the problem of high cost; or uses the minicomputer-based HA (High Available, high availability cluster), but this method has the following disadvantages:

In the master-slave mode, only the master server undertakes the service, and the slave server does not undertake the service, and the resource utilization rate is low; in the symmetrical mode, the two servers have a master-slave relationship with each other, and when one machine goes down, the other must load all the services of the two servers , poor stability; the cluster mode uses three or more servers to work at the same time, one of which serves as the slave server of the other two or more, which has improved in all aspects compared with the above two modes, but there are also idle resources;

[0005] 2. The stability is not high

Once the minicomputer-based HA mode goes down, it needs a second-level or even minute-level switching time window, which may cause performance shocks and stability problems to the running production system;

[0006] 3. Does not have smooth expansion and upgrade capabilities

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