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Traffic Engineering Based on Local States in Internet Protocol-Based Radio Access Networks

机译:基于Internet协议的无线访问网络中基于本地状态的流量工程

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摘要

The purpose of this research is to develop and evaluate a traffic engineering architecture that uses local state information. This architecture is applied to an Internet protocol radio access network (RAN) that uses multi-protocol label switching (MPLS) and 'differentiated services to support mobile hosts. We assume mobility support is provided by a protocol such as the hierarchical mobile Internet protocol. The traffic engineering architecture is router based—meaning that routers on the edges of the network make the decisions onto which paths to place admitted traffic. We propose an algorithm that supports the architecture and uses local network state in order to function. The goal of the architecture is to provide an inexpensive and fast method to reduce network congestion while increasing the quality of service (QoS) level when compared to traditional routing and traffic engineering techniques. We use a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm. We use the network simulator ns-2 as the core of our simulation environment. Around this core we built a system of pre-simulation, during simulation, and post-processing software that enabled us to simulate our traffic engineering architecture with only very minimal changes to the core ns-2 software. Our simulation environment supports a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm.
机译:本研究的目的是开发和评估使用本地状态信息的流量工程体系结构。此体系结构应用于使用多协议标签交换(MPLS)和“区分服务”以支持移动主机的Internet协议无线电访问网络(RAN)。我们假定通过诸如分层移动Internet协议之类的协议提供移动性支持。流量工程架构是基于路由器的,这意味着网络边缘的路由器可以决定将允许的流量放置在哪条路径上。我们提出了一种支持该体系结构并使用本地网络状态以起作用的算法。与传统的路由和流量工程技术相比,该体系结构的目标是提供一种廉价且快速的方法来减少网络拥塞,同时提高服务质量(QoS)级别。我们使用许多不同的移动方案以及不同类型的流量的组合来评估我们的体系结构和算法。我们使用网络模拟器ns-2作为我们模拟环境的核心。围绕这个核心,我们构建了一个预模拟,模拟过程和后处理软件系统,使我们能够对ns-2核心软件进行很小的改动就可以模拟我们的流量工程架构。我们的仿真环境支持多种不同的移动性方案以及不同类型的流量的混合,以评估我们的架构和算法。

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