Abstract

The development of online games is in full swing in recent years, and it is developing in the direction of 3D, exquisite, and has attained significant popularity. However, there are many challenges faced while designing 3D games that are targeted to specific user groups and can run stably. Data-driven technology can collect game preferences and identify common technical defects and other issues in game design for effective completion of frameworks. To solve the problem and difficulty of obtaining the data for 3D games and the possibility of flaws in the framework design, this paper adopts data-driven technology to descriptively analyze the obtained data through website log files, web beacons, and JS page tags and constructs a network after experimenting with the mathematical model of 3D modeling for gaming. For this purpose, a 3D game framework was successfully designed. After testing the data of the server for three cases while there are 4000, 8000, and 12000 players online at a given time, where each of which ran for 3 consecutive days, and it was concluded that the average CPU occupancy rate of these three cases was below 50%, especially in the range of about 30% for the majority of these players. Moreover, it can stably support about 10000 simultaneous online players for a relatively long period of time. For game servers and character servers, the results are excellent and have the potential to be adopted in future for 3D gaming industry.

Full Text
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