A Simulation and Prediction Model for Cyber Traffic Sharing and Market Competition
A Simulation and Prediction Model for Cyber Traffic Sharing and Market Competition
复制标题
网络流量共享与市场竞争的仿真与预测模型
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Kenny Huang
中科院分区：
文献类型：
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作者：
J. Chiang;Kenny Huang
大规模物流网络中的交通行为可以看作是一个复杂的非线性系统。描述大规模网络中长期的网络服务流量行为是非常困难的。现代电子服务基础设施背后的互联网可以被视为服务提供商（SP）和互联网交换提供商（IXP）的组合。由于SP和IXP之间的市场竞争，互联网用户将体验到不同且增强的服务质量（QoS），从而影响网络流量模型。本文探索了一个新的研究学科，并提出了 IXP/SP 环境中的控制论交通模型。 e-Services，模拟IXP/SP的市场竞争行为，确定交易所提供商的市场份额将通过市场竞争被稀释。本研究提出了路由和服务绑定策略。路由策略根据不同的竞争环境而变化，从而产生一个旨在引导竞争性定价策略和智能服务决策支持的容量分配的模型。
Traffic behavior in a large-scale logistic network can be viewed as a complex non-linear system. It is very difficult to illustrate the long-term network service traffic behavior in a large-scale network. The Internet underlying the modern electronic services infrastructure can be seen as the combination of Service Providers (SPs) and Internet Exchange Providers (IXPs). Due to market competition among SPs and IXPs, Internet users will experience a different and enhanced quality of services (QoS), consequently affecting the network traffic model. This paper explores a new research discipline and presents a cybernetic traffic model in the IXP/SP environment w.r.t. e-Services, which simulates IXPs/SPs market competition behavior and determines that Exchange-providers' market share will be diluted through market competition. Routing as well as service binding strategies are presented in this study. Routing strategies vary according to the different competing environments resulting in a model that is meant to lead competitive pricing strategies and capacity allocation for intelligent service decision support.