The Gamer's Private Network (GPN) is a client/server technology created by WTFast for making the network performance of online games faster and more reliable. GPN s use middle-mile servers and proprietary algorithms to better connect online video-game players to their game's servers across a wide-area network. Online games are a massive entertainment market and network latency is a key aspect of a player's competitive edge. This market means many different approaches to network architecture are implemented by different competing companies and that those architectures are constantly evolving. Ensuring the optimal connection between a client of WTFast and the online game they wish to play is thus an incredibly difficult problem to automate. Using machine learning, we analyzed historical network data from GPN connections to explore the feasibility of network latency prediction which is a key part of optimization. Our next step will be to collect live data (including client/server load, packet and port information and specific game state information) from GPN Minecraft servers and bots. We will use this information in a Reinforcement Learning model along with predictions about latency to alter the clients' and servers' configurations for optimal network performance. These investigations and experiments will improve the quality of service and reliability of GPN systems.
翻译:Gamer 私人网络(GPN) 是一个由WTFast 创建的客户/服务器技术, 使网上游戏的网络性能更快、更可靠。 GPN 使用中里服务器和自有算法将在线视频游戏玩家与广域网络的游戏服务器更好地连接起来。 在线游戏是一个巨大的娱乐市场, 网络长期性是玩家竞争优势的一个关键方面。 这个市场意味着许多不同的竞争公司对网络结构采取不同的办法,而这些结构也在不断演变。 因此,确保WTFast 客户和他们想要玩的在线游戏之间的最佳连接对于自动化来说是一个极其困难的问题。 我们利用机器学习,分析了GPN连接中的历史网络数据,以探索网络定位预测的可行性,这是优化的一个关键部分。 我们下一步是收集GPN Minecraft 服务器和机器人的实时数据( 包括客户/ 服务器负荷、 包和 港口信息以及具体的游戏状态信息) 。 我们将使用此信息在强化学习模型中, 并同时进行关于延定能的预测, 来改变客户 GPN 的可靠性和服务器配置的最佳测试。