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Modeling and simulation of broadband satellite networks. II. Traffic modeling

机译:宽带卫星网络的建模和仿真。二。交通模型

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For p.I see ibid., vol.37, no.3, p.72-9 (1999). Traffic models for satellite network simulation must cover a broad range of traffic types and characteristics because the type of users/terminals that will access a satellite channel will range from a single home user (low traffic aggregation) to Internet backbone nodes (very high traffic aggregation). In addition, since satellite resources are generally considered more scarce than their fiber counterparts, the accuracy and practicality of traffic models play a crucial role. We address these challenges by identifying three traffic modeling areas for satellite network simulation, and propose an effective and flexible traffic model for each area: a discrete autoregressive process for MBone video source modeling; the superposition of fractal renewal processes (Sup-FRP) model for Web request arrivals; and a generalized shot-noise-driven Poisson point process (GSNDP) for aggregate traffic flows modeling. The efficacy of the first two models is demonstrated based on statistical analysis of various video and Web traces. These simulation-oriented models provide accurate descriptions of source traffic at various levels of traffic aggregation, and thus enable satellite network researchers and practitioners to understand key network design and engineering issues such as QoS provisioning based on simulation.
机译:关于我,见同上,第37卷,第3期,第72-9页(1999年)。用于卫星网络仿真的流量模型必须涵盖广泛的流量类型和特征,因为将访问卫星频道的用户/终端类型范围从单个家庭用户(流量聚合较低)到Internet骨干节点(流量聚合非常高) )。此外,由于通常认为卫星资源比光纤资源更为稀缺,因此流量模型的准确性和实用性起着至关重要的作用。我们通过确定三个用于卫星网络仿真的交通建模领域来应对这些挑战,并针对每个领域提出一种有效而灵活的交通模型:MBone视频源建模的离散自回归过程; Web请求到达的分形更新过程(Sup-FRP)模型的叠加;以及用于总流量建模的广义散粒噪声驱动的泊松点过程(GSNDP)。基于对各种视频和Web跟踪的统计分析,证明了前两个模型的功效。这些面向仿真的模型在流量聚合的各个级别提供了对源流量的准确描述,从而使卫星网络研究人员和从业人员能够了解关键的网络设计和工程问题,例如基于仿真的QoS设置。

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