GPN-Perf2: Game private networks and game servers performance optimization
GPN-Perf2: Game private networks and game servers performance optimization
批准号:
477506-2014
负责人:
Hay, Andrew
金额:
$5.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 2
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
GPN-Perf是由Okanagan学院及其工业合作伙伴WTFast进行的两阶段项目。第一阶段于2014年开始,作为NSERC CCI ARD 1级项目。其主要结果是:(a)设计并实现了一个实验性的GPN(游戏专用网络)基础设施以在“体外”实验室环境上测试游戏服务器软件性能,(B)将服务器软件的影响与网络延迟和带宽隔离,这在WTFast的工业设置中是不可能的,它通过互联网将玩家与服务器连接起来(c)Okanagan College的目标是在第一阶段完成后立即安排第二阶段,以保持学生的兴趣,持续参与WTFast,从而减少学术研发和未来高价值WTFast服务之间的滞后。该项目将利用在项目第一阶段创建的基础设施作为测试和构建游戏服务器软件的框架,该软件可以真实的实时优化和监控WTFast游戏服务。这个基础设施将允许新的服务器被自动部署和配置为私人游戏服务器,同时也监控它们的性能和使用统计数据。通过使用新的创新预测模型(由该项目创建),新的服务器可能会自动添加时,游戏水平将需要更多的资源,以保持最佳性能。测试的网络基础设施和网络软件将使用一个程序,模拟许多玩家连接到许多游戏服务器上的几个虚拟机在网络中。这些网络测试的目的是确定网络软件无法跟上流量的点。测试还将用于确定游戏服务器及其主机虚拟机的容量,即它们可以支持的玩家数量。这些知识和相关的实验功能在行业中是独一无二的,将给我们更深入的了解,加上游戏网络领域的产业创新。
英文摘要
GPN-Perf is a two-phase project conducted by Okanagan College and its industrial partner WTFast.The first phase begins in 2014 as an undergoing NSERC CCI ARD Level 1 project. Its main results are (a) thedesign and implementation of an experimental GPN (Game Private Network) infrastructure to test game serversoftware performance on an "in vitro" laboratory environment, (b) isolation of the effect of server softwarefrom network latency and bandwidth, which is not possible in WTFast's industrial setup that connects playerswith servers over the internet (c) measuring and explaining key statistics of the GPN performance.Okanagan College's goal is to schedule the second phase immediately after completion of the first phase so asto retain student interest, continuous involvement of WTFast and thus reduce the lag between academic R&Dand future high-value WTFast services. This project will utilize the infrastructure created in the first phase ofthe project as the framework on which to test and build game server software that can optimize and monitorWTFast game services in real time. This infrastructure will allow new servers to be automatically deployed andconfigured for use as private game servers, while also monitoring their performance and usage statistics. Byusing new innovative predictive models (created by the project), new servers may be automatically added whentraffic levels will require more resources to maintain optimal performance.Testing of the network infrastructure and the network software will be done using a program that simulatesmany players connecting to many game servers on several virtual machines in the network. The goal of thesenetwork tests is to identify the point at which the network software can no longer keep up to the flow of traffic.The tests will also serve to identify the capacity of the game servers and their host virtual machines in terms ofthe number of players they can support.This knowledge and associated experimental functionality exists nowhere else in the industry and will give usdeeper knowledge, plus industrial innovation in the game networking area.
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