Daniele Spina
AI Server architecture for latency mitigation and cheating prevention: MPAI-SPG solution.
Rel. Marco Mazzaglia, Francesco Strada, Edoardo Battegazzorre. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
With their rising popularity, computer games have become one of the most sought-after forms of entertainment worldwide. A growing trend among these games is online multiplayer functionality, allowing players from different locations to come together in a shared virtual world. However, network latency between players and the server can negatively impact gameplay by reducing responsiveness and introducing inconsistencies. Consequently, this can hamper player performance and diminish the overall quality of the gaming experience. In this thesis, we studied the solution proposed by the MPAI organisation, called Server Predictive Game, in short, SPG. SPG aims to construct a robust server architecture capable of anticipating future game states.
Whenever the server notices any missing data from clients or the evaluated game state is too different from the anticipated one, the server modifies the game state by applying the SPG prediction
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