Using Machine Learning

Abstract: The Gamer''s Private Community (GPN) is a consumer/server know-how created by WTFast for making the network efficiency of on-line video games faster and extra dependable. GPN s use middle-mile servers and proprietary algorithms to raised connect on-line video-sport players to their sport''s servers throughout a large-area community. On-line games are a massive leisure market and community latency is a key side of a player''s competitive edge. This market means many different approaches to community structure are carried out by different competing companies and that these architectures are continuously evolving. Ensuring the optimal connection between a client of WTFast and the web sport they wish to play is thus an extremely tough drawback to automate. Utilizing machine learning, we analyzed historical community information from GPN connections to discover the feasibility of community latency prediction which is a key a part of optimization. Our subsequent step will likely be to gather live data (together with shopper/server load, packet and port info and particular recreation state information) from GPN Minecraft servers and bots. We will use this info in a Reinforcement Studying mannequin along with predictions about latency to alter the purchasers'' and servers'' configurations for optimum network efficiency. These investigations and experiments will enhance the quality of service and reliability of GPN programs. It''s uooka time