Game server architecture optimization method and system

Abstract

The invention provides a game server architecture optimization method and system, and belongs to the field of computer networks, and the game server architecture optimization method comprises the following steps: collecting user information, dividing into a plurality of areas according to the position distribution information of users, and predicting the change trend of the number of online people through a linear regression model according to the user information of each current area; and the server changes and / or adds and deletes the service content provided for each region according to the prediction result or the current online number of people. An active defensive method is provided, changes of the number of users are predicted, corresponding services are adjusted in advance, service quality is provided as required on the premise that the service quality is guaranteed through a self-adaptive method, the cost of a server is saved to the maximum extent, and user experience is improved. The problems that errors are easily introduced in the manual operation process of technicians to affect the service, and the service is affected or server resources are wasted due to untimely reaction are solved.

Description

[0001] This application is a divisional application of a patent application entitled "A Game Server Architecture Optimization Method and System". The application date of the original application is September 28, 2018, and the application number is 201811137669.X. technical field [0002] The invention relates to the field of computer networks, in particular to a game server architecture optimization method and system. Background technique [0003] With the continuous improvement of material living standards, people's demand for entertainment is also increasing. Games are slowly starting to become one of the important ways for people to entertain and relax. With the development of the Internet, the concept of the global village has gradually become a reality. More and more games are also beginning to provide services to users around the world. Due to geographical location, the speed of light limitation of network transmission and some special circumstances of the Internet, ...

AI Technical Summary

Problems solved by technology

[0004] 1) Centralized architecture, this architecture deploys all game servers in one place, the architecture is relatively simple and easy to maintain, but global players accessing the same region will inevitably lead to slow user access in some regions

[0005] 2) Distributed architecture, this architecture deploys servers in various regions, which solves the problem of slow global player access, but the current distributed architecture generally requires manual operation and cannot change with changes in user behavior

[0006] 3) Other architectures generally make a trade-off between the above two architectures, such as partial distribution and partial concentration, but the distributed part still requires manual operation and cannot change with changes in user behavior

This approach is a passive defensive approach. During the manual operation of technicians, it is not only easy to introduce errors to affect the service, but also the service is affected or the server resources are wasted due to untimely response, and it is impossible to quickly adjust with user behavior in real time.

For example, when the number of users increases rapidly, the response speed of judging and manually operating server resources based on monitoring will inevitably affect the quality of service

Another example is that there is a large difference in the peak value of players between Monday to Friday and weekends. The general existing practice is to deploy server resources according to the peak value of weekends, resulting in a waste of server resources; waste of resources

[0008] When the server is deployed in multiple places around the world, the difficulty of manual operation is further increased

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