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Traffic Analysis And Synthetic Models Of Second Life

机译:第二人生的流量分析和综合模型

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Virtual Worlds (VW), such as Massive Multiplayer Online Social Games, have been gaining increasing attention in the last few years, mainly due to the new way users interact with them. However, little effort has been devoted to understand their traffic profile and the implications to the traffic management area. With the current growing rate of VWs' usage, their traffic demand could eventually impose a significant burden on the operation of a typical Internet Service Provider (ISP) network. In this paper, we seek to understand the traffic behavior of an increasingly popular VW application, namely Second Life (SL), from both the connection and network level perspectives. We also show results of a traffic analysis of a SL client, when an avatarrnperforms different actions in the VW, at different places and under different network conditions. Our results show that SL makes intensive use of network resources (mostly bandwidth), since the capacity needed for having a full SL experience (listening to live music) may reach 500kbps. We then extend the traffic analysis work on SL by providing analytical models for its traffic profile. We aim at helping the network management and planning area to estimate the impact of an intense use of such VW on access links or core networks. Such synthetic models are also useful to the networking research community for the use in network simulations.
机译:过去几年中,诸如大型多人在线社交游戏等虚拟世界(VW)受到越来越多的关注,这主要是由于用户与他们互动的新方式所致。但是,人们很少花力气了解他们的交通概况以及对交通管理领域的影响。随着当前大众使用率的增长,他们的流量需求最终可能给典型的Internet服务提供商(ISP)网络的运行带来巨大负担。在本文中,我们试图从连接和网络级别的角度来理解日益流行的VW应用程序(即Second Life(SL))的流量行为。当化身在大众汽车中,在不同地点和不同网络条件下执行不同的操作时,我们还显示了SL客户端的流量分析结果。我们的结果表明,SL会大量使用网络资源(主要是带宽),因为拥有完整的SL体验(听现场音乐)所需的容量可能达到500kbps。然后,我们通过为SL的流量配置文件提供分析模型来扩展SL上的流量分析工作。我们旨在帮助网络管理和规划领域来评估大量使用此类大众汽车对接入链路或核心网络的影响。这种综合模型对于网络研究社区在网络仿真中的使用也很有用。

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