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,

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.