Game Server Network Analysis Engine

大型在线游戏(MOG)通常要求玩家沉浸在实时环境中。因此， 为支持MOG而隐含的服务质量要求是遇到的最具挑战性的一些要求 通过互联网应用程序。考虑到参与者的多样性，实现这一目标可能特别具有挑战性 网络资源的物理位置和共享性质。本项目将调查以下各项的效用 进化计算，用于自适应地重新配置用于支持的客户端-服务器环境的各个方面 覆盖广泛分布的最终用户。MOG应用程序的特点是数据需求 相对较轻，但对时间非常敏感。这是基于下载的不同要求 应用程序，如Netflix，或通信风格的应用程序，如Skype。这个项目的目标是 是设计和实现一个系统来映射现有的游戏服务器和到这些服务器的网络路径 主要的互联网交换或NAP(网络接入点)。为了实现这一点，我们将分析 现有的侦察工具，如‘Traceroute’和‘Dig’，目的是探索它们的增强 具有网络监控和拥塞识别工具和技术。

Massively online games (MOG) often require players to be immersed in a real-time environment. Thus, the quality of service requirements implied in order to support MOG are some of the most challenging encountered by Internet applications. This can be particularly challenging to achieve, given the diversity in participant's physical location and shared nature of network resources. This project will investigate the utility of evolutionary computation for adaptively reconfiguring aspects of the client-server environment used to support MOG over widely dispersed end-users. MOG applications are characterized by data requirements that are comparatively light-weight, but very time sensitive. This is a distinct requirement from download based applications, such as Netflix, or communication style applications such as Skype. The objective of this project is to design and implement a system to map existing game servers and the network paths to those servers from the major Internet Exchanges or NAPs (Network Access Points). In order to achieve this, we will analyze the existing reconnaissance tools such as 'traceroute' and 'dig' with the objective of exploring their augmentation with network monitoring and congestion identification tools and techniques.