Cloud game platform pooling method, electronic equipment and storage medium

Abstract

The embodiment of the invention relates to the technical field of cloud computing, in particular to a cloud game platform pooling method, electronic equipment and a storage medium. By considering theinfluence of different online scenes on game online behaviors, weight of the online scenes on game online is obtained by analyzing the correlation values of the online scenes and game online. The condition with the maximum correlation of the game online instance number is determined, then the target game online instance prediction value is predicted according to the probability of occurrence of the online scene, the target game pooling number is determined according to the target game online instance prediction value, self-adaptive adjustment can be conducted on the pooling scheme in real timeaccording to different scenes, the optimal pooling scheme is quickly and accurately determined, and resources of the cloud game platform are utilized to the maximum extent.

Description

technical field [0001] The embodiment of the present application relates to the technical field of cloud computing, and in particular to a cloud game platform pooling method, an electronic device, and a storage medium. Background technique [0002] The existing pool allocation method has a simple algorithm, which depends on the number of historical online instances and game activity, and determines the pool allocation for a certain period of time in the future based on the experience value of the staff or a simple average value algorithm. [0003] In the prior art, the above-mentioned pool allocation scheme has not been considered comprehensively and cannot be adjusted adaptively. However, the resources of the cloud game platform are fixed. From the perspective of platform operation, the analysis is not comprehensive, resulting in uneven resource allocation and high resource utilization. However, parameters such as traffic consumption and error rate of the cloud gaming platf...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the above-mentioned pool allocation scheme has not been considered comprehensively and cannot be adjusted adaptively. However, the resources of the cloud game platform are fixed. From the perspective of platform operation, the analysis is not comprehensive, resulting in uneven resource allocation and high resource utilization. However, parameters such as traffic consumption and error rate of the cloud gaming platform will also affect instance allocation; from the user's point of view, the allocation accuracy is low and the efficiency is low, resulting in an increased probability of queuing and poor user experience

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